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awesome-image-registration

image registration related books, papers, videos, and toolboxes
https://github.com/Awesome-Image-Registration-Organization/awesome-image-registration

Last synced: 1 day ago
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  • 2022

    • [EECV
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [CVPR
    • [CVPR
    • [MIA
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [AAAI - Actor-Critic for Unsupervised Deformable Image Registration. [[code](https://github.com/Algolzw/SPAC-Deformable-Registration)] [**`medi.`**]
    • [AAAI
    • [AAAI
    • [AAAI
    • [CVPR
    • [CVPR
    • [CVPR - rigid Shape Matching and Registration. [[Code](https://github.com/AoxiangFan/GeneralizedCoherentPointDrift)]
    • [CVPR - rigid image registration. [[Code](https://github.com/dgrzech/learnsim)]
    • [CVPR - to-Fine Vision Transformer. [[Code](https://github.com/cwmok/C2FViT)]
    • [CVPR - Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow. [[Code](https://github.com/Siwensun/Neural_Diffeomorphic_Flow--NDF)]
    • [CVPR - Aware Registration of Less-Overlap RGB-D Scans. [[Code](https://github.com/2120171054/Global-Aware-Registration-of-Less-Overlap-RGB-D-Scans)]
    • [CVPR - instance Point Cloud Registration by Efficient Correspondence Clustering. [[Code](https://github.com/Gilgamesh666666/Multi-instance-Point-Cloud-Registration-by-Efficient-Correspondence-Clustering)]
    • [CVPR - DIR)]
    • [CVPR - modal Image Registration and Fusion.
    • [CVPR - to-end Point Cloud Correspondences with Transformers. [[code](https://github.com/yewzijian/RegTR)] [**`pc.`**]
    • [CVPR - PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration. [[code](https://github.com/ZhiChen902/SC2-PCR)] [**`pc.`**]
    • [MIA - CT image registration using an unsupervised, dual-channel network for neurosurgical guidance. [**`medi.`**]
    • [MIA - stream pyramid registration network. [**`medi.`**] [[Unofficial code](https://github.com/olddriverjinx/reimplemention-of-dual-prnet)]
    • [MIA - ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. [**`medi.`**]
    • [NeurIPS - rigid Point Cloud Registration with Neural Deformation Pyramid [[Code](https://github.com/rabbityl/DeformationPyramid)]
    • [ICLR - rigid Point Set Registration]
    • [TIP - aware Graph Signal Processing [[Code](https://github.com/zikai1/GraphReg)]
    • [TPAMI - Invariant and Globally-Aware Descriptors for Point Cloud Registration
    • [SIGGRAPH - supported Registration Network for Low-overlap Point Cloud Pairs
    • [ACM MM - equivariant Descriptors [[Code](https://github.com/HpWang-whu/YOHO)]
    • [TVCG
    • [RAL
    • [TPAMI
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - research/fst-matching)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [AAAI - to-Partial Point Cloud Registration. [[code](https://github.com/MegEngine/FINet)] [**`pc.`**]
    • [AAAI - to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration. [**`pc.`**]
    • [MICCAI
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [NeurIPS - Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [MICCAI
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [SIGGRAPH - supported Registration Network for Low-overlap Point Cloud Pairs
    • [EECV
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [CVPR
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.
    • [EECV
    • [EECV - Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. [**`pc.`**]
    • [EECV
    • [EECV - CG: Point Cloud Registration via Deep Explicit Color and Geometry. [[Code](https://github.com/Gardlin/PCR-CG)]
    • [EECV - shape Matching. [[Code](https://github.com/dongliangcao/Unsupervised-Deep-Multi-Shape-Matching)]
    • [EECV - Free Image Matching with Adaptive Span Transformer. [[Code](https://github.com/apple/ml-aspanformer)]
    • [EECV - Matching-Guided Transformer for 3D Tracking in Point Clouds. [[code](https://github.com/jasongzy/CMT)]
    • [EECV
    • [EECV - supervised Learning of Visual Graph Matching.
    • [EECV - STFM: 3D Geometric Guided Student-Teacher Feature Matching. [[Code](https://github.com/Ryan-prime/3DG-STFM)]
    • [EECV
    • [EECV - research/fst-matching)]
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [EECV - Supervised Keypoint Detector and Descriptor for Retinal Image Matching [[Code](https://github.com/ruc-aimc-lab/superretina)]
    • [EECV
    • [EECV
    • [EECV - rigid shape matching [[Code](https://github.com/Sentient07/IFMatch)]
    • [EECV - Shot Anomaly Detection [[Code](https://github.com/mediabrain-sjtu/regad)]
    • [ECCV - D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [[Code](https://github.com/514DNA/LLT)] [**`pc.`**]
    • [ECCV - based Framework for Multi-instance Point Cloud Registration [[Code](https://github.com/phdymz/PointCLM)] [**`pc.`**]
    • [ECCV - supervised Line Segmentation and Description for LiDAR Point Cloud [[Code](https://github.com/zxrzju/SuperLine3D)] [**`pc.`**]
    • [MICCAI - Based Lung Registration Under Geometric Domain Shifts.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
    • [MICCAI - modality Unsupervised Deformable Image Registration.
    • [MICCAI
    • [MICCAI - Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
    • [MICCAI - to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation
    • [MICCAI
    • [MICCAI
    • [MICCAI - modal 2D/3D Registration via Local Descriptors Learning.
    • [MICCAI - iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. [code](https://github.com/MungoMeng/Registration-NICE-Trans)
    • [MICCAI
    • [MICCAI - operative and Post-recurrence Brain Tumor MRI Scans.
    • [MICCAI - Based Optimization in Image Registration Networks.
    • [MICCAI - subject Prostate MR Image Registration.
    • [MICCAI
    • [MICCAI - modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network.
    • [MICCAI - Discrete Learning Framework for Spherical Surface Registration.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Net.
    • [MICCAI - Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
    • [MICCAI - to-Volume Registration in Fetal Brain MRI.
    • [MICCAI - Based US-MR Liver Image Registration with Spatial Priors
    • [MICCAI - VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.

  • 2020

    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [CVPR
    • [CVPR - metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences. [[code](https://github.com/XiaoshuiHuang/fmr)] [**`pc.`**]
    • [CVPR oral
    • [CVPR - Modal Image Registration via Geometry Preserving Image-to-Image Translation.
    • [CVPR - Scale Shape Registration With Functional Maps.
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - Based Medical Image Registration.
    • [CVPR - Newton Solver for Robust Non-Rigid Registration.
    • [NeurIPS - supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration.
    • [NeurIPS
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [3DV - pytorch](https://github.com/felja633/RLLReg)] [**`pc.`**]
    • [TPAMI
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [MIA - based 3D deformable groupwise registration. [**`medi.`**]
    • [MIA - atlas image registration of clinical data with automated quality assessment using ventricle segmentation. [**`medi.`**]
    • [MIA - local graph shrinkage in atlas construction. [**`medi.`**]
    • [MIA - guided thermal ablation of liver tumors. [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [TPAMI
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [ECCV - Shot Segmentation on Medical Images.
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [ECCV - Shot Segmentation on Medical Images.
    • [ECCV - Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration.
    • [ECCV - modal Image Alignment of Large-Scale Pathological CT Scans.
    • [ECCV - based Probabilistic Surface Registration.
    • [ECCV
    • [MICCAI - RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation [[code](https://zmiclab.github.io/projects.html)] [**`medi.`**]
    • [MICCAI - Based Discrete CT Registration Using 2.5D Displacement Search [[code](https://github.com/multimodallearning/pdd2.5/)] [**`medi.`**]
    • [MICCAI - Spatial-Transformers)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]
    • [MICCAI - Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model [[code](https://gitlab.com/nct_tso_public/Volume2SurfaceCNN)] [**`medi.`**]

  • 2018

  • Books & Tutorials

  • Key Conferences/Workshops/Journals

  • 2021

    • [ICCV
    • [AAAI - Rank Registration Based Manifolds for Convection-Dominated PDEs.
    • [AAAI
    • [NeurIPS
    • [NeurIPS
    • [NeurIPS - to-fine Correspondences for Robust PointCloud Registration.
    • [Robotics and Autonomous Systems
    • [TPAMI
    • [TPAMI - Rigid Point Set Registration With Downsampling and Gaussian Process Regression.
    • [TPAMI - Based Metric and Efficient Global Optimization.
    • [TPAMI - Aware Non-Rigid Point Cloud Registration.
    • [MICCAI
    • [MICCAI - modal Attention for MRI and Ultrasound Volume Registration. [[code](https://github.com/DIAL-RPI/Attention-Reg)] [**`medi.`**]
    • [MICCAI - to-end Ultrasound Frame to Volume Registration. [[code](https://github.com/DIAL-RPI/FVR-Net)] [**`medi.`**]
    • [MICCAI - specific Affine Transformation for Medical Images Registration. [[code](https://github.com/xuuuuuuchen/PASTA)] [**`medi.`**]
    • [MICCAI - view analysis of unregistered medical images using cross-view transformers. [[code](https://github.com/gvtulder/cross-view-transformers)] [**`medi.`**]
    • [MICCAI
    • [MICCAI - Linear Modelling. [[code](https://gitlab.kuleuven.be/u0132345/deepdiffeomorphicfaceregistration)] [**`medi.`**]
    • [MIA - based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery. [**`medi.`**]
    • [MIA - time multimodal image registration with partial intraoperative point-set data. [**`medi.`**]
    • [MIA
    • [MIA - supervised learning of multi-modal features for regularised iterative descent in 3D image registration. [**`medi.`**]
    • [MIA
    • [MIA - task MRI reconstruction: Joint reconstruction, registration and super-resolution. [**`medi.`**]
    • [MIA - ray images using Grangeat's relation. [**`medi.`**]
    • [MIA - rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching. [**`medi.`**]
    • [MIA - body image registration. [**`medi.`**]
    • [MIA - based lung CT registration with multiple anatomical constraints. [**`medi.`**]
    • [MIA - to-end multimodal image registration via reinforcement learning. [**`medi.`**]
    • [MIA - aware hierarchical convolutional neural networks for deformable registration of brain MR images. [**`medi.`**]
    • [MIA
    • [MIA
    • [MIA
    • [MIA - Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks. [**`medi.`**]
    • [MIA
    • [MIA
    • [MIA - surgical prostate MRI and histopathology images via super-resolution volume reconstruction. [**`medi.`**]
    • [MIA - atlas registration and 3D level-set. [**`medi.`**]
    • [MIA - guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. [**`medi.`**]
    • [CVPR - pytorch](https://github.com/ShengyuH/OverlapPredator)] [**`pc.`**] :fire:
    • [CVPR
    • [CVPR
    • [CVPR
    • [CVPR - to-Point Cloud Registration via Deep Classification. [[code](https://github.com/lijx10/DeepI2P)] [**`pc.`**] :fire:
    • [CVPR
    • [CVPR - Lee/PointNetLK_Revisited)] [**`pc.`**]
    • [CVPR - to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation
    • [CVPR - Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
    • [CVPR - View Alignment Network for Unsupervised Surface Registration.
    • [CVPR - Based Visual Odometry.
    • [CVPR - Based Image Registration With Meta-Regularization.
    • [CVPR
    • [ICCV - scale Outdoor LiDAR Point Cloud Registration. [[code](https://ispc-group.github.io/hregnet)] [**`pc.`**]
    • [ICCV oral
    • [ICCV
    • [ICCV
    • [ICCV - Entropy Method for Unsupervised Point Cloud Registration.[**`pc.`**]
    • [ICCV - CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration.[[code](https://github.com/ChirikjianLab/LSG-CPD)] [**`pc.`**]
    • [ICCV - to-Partial Point Cloud Registration.[[code](https://github.com/megvii-research/OMNet)] [**`pc.`**]
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV - Attention Matrices for Rigid Registration of Point Clouds. [**`pc.`**]
    • [ICCV
    • [CVPR - pytorch](https://github.com/QingyongHu/SpinNet)] [**`pc.`**] :fire:
    • [MICCAI

  • 2019

    • [CVPR
    • [CVPR - pytorch](https://github.com/hmgoforth/PointNetLK)] [**`pc.`**] :fire:
    • [CVPR - Based Randomized Approach for Robust Point Cloud Registration without Correspondences. [[matlab](https://github.com/intellhave/SDRSAC)] [**`pc.`**]
    • [CVPR - Set Registration using Gaussian Filter and Twist Parameterization. [[code](https://bitbucket.org/gaowei19951004/poser/src/master/)] [**`pc.`**]
    • [CVPR - Of-Interest Network for Tracking and Triangulation.
    • [CVPR
    • [CVPR - Parametric Image Registration.
    • [ICCV - to-End Deep Neural Network for 3D Point Cloud Registration. [**`pc.`**]
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV
    • [NeurIPS - Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration.
    • [NeurIPS
    • [NeurIPS - Supervised Learning for Partial-to-Partial Registration.
    • [TPAMI - Resolution Feature Enhanced Point Clouds.
    • [MICCAI
    • [ICRA - overlap 3-D point cloud registration for outlier rejection. [[matlab](https://github.com/JStech/ICP)] [**`pc.`**]
    • [ICRA
    • [ICRA - 3D: Estimating the Covariance of ICP in the Real World. [**`pc.`**]
    • [TPAMI - Resolution Feature Enhanced Point Clouds.
    • [ICCV

  • 2017

    • [CVPR
    • [CVPR - to-Coarse Global Registration of RGB-D Scans.
    • [CVPR
    • [CVPR
    • [ICCV - to-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors.
    • [ICCV - view Registration for Indoor Reconstruction.
    • [ICCV - Form Deformation Network for Object-Mask Registration.
    • [ICCV - Local Correspondence and Transformation Estimation.
    • [ICCV
    • [AAAI
    • [AAAI - Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization.
    • [ICRA
    • [TPAMI
    • [TPAMI
    • [TPAMI - Splines for Nonrigid Image Registration.
    • [CVPR - Wise Point-Set Registration Based on Rényi's Second Order Entropy.
    • [TPAMI - Splines for Nonrigid Image Registration.
    • [AAAI

  • before_2016

  • Papers

  • Datasets & Competitions

  • Courses Seminars and Videos

  • Toolbox

    • Natural image

      • C++
      • C++ - linear Least Squares problems with bounds constraints and general unconstrained optimization problems.

    • Medical Image

      • c++ - known [ITK](http://www.itk.org) .
      • **[manual
      • C++ - of-the-art image registration really easy to do in languages like Python, Java and R.
      • **3D slicer** - dimensional visualization. Built over two decades through support from the National Institutes of Health and a worldwide developer community, Slicer brings free, powerful cross-platform processing tools to physicians, researchers, and the general public.

    • Remote Sensing

      • C++ - resolution spline. Enfuse merges different exposures of the same scene to produce an image that looks much like a tone-mapped image.
      • C++
      • APAP
      • SPHP
      • C++ - source, cross-platform system that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.

    • Point Cloud

  • Uncategorized

  • 2023

    • [CVPR - modal Spatial Evaluator [[Code](https://github.com/Kid-Liet/IMSE)] [**`medi.`**]
    • [CVPR - HB/VBReg)] [**`pc.`**]
    • [CVPR - Registration-with-Maximal-Cliques)] [**`pc.`**]
    • [CVPR - based Spatial Consistency for Robust Non-rigid Point Cloud Registration [[Code](https://github.com/qinzheng93/GraphSCNet)] [**`pc.`**]
    • [CVPR
    • [CVPR - USI3DV/SGHR)] [**`pc.`**]
    • [AAAI - YU/rethink_rotation)] [**`pc.`**]
    • [TPAMI - whu/RoReg)] [**`pc.`**]
    • [NeurIPS - 4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. [**`data.` ** **`pc.`**]
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [ICCV - Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. [**`pc.`**]
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [NeurIPS - 4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. [**`data.` ** **`pc.`**]
    • [NeurIPS - based Point Cloud Registration for Robust 6D Object Pose Estimation. [**`pc.`**]
    • [NeurIPS - Rigid Shape Registration via Deep Functional Maps Prior.
    • [NeurIPS - Temporal Representation Learning. [**`pc.`**]
    • [NeurIPS - to-Pixel Matching. [**`pc.`**]
    • [ICCV - NeRF: Deep Registration for Neural Radiance Fields.
    • [ICCV
    • [ICCV - PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration. [**`pc.`**]
    • [ICCV
    • [ICCV
    • [ICCV
    • [ICCV - TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning. [**`pc.`**]
    • [ICCV - MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds. [**`pc.`**]
    • [ICCV - Aware Transformer Network for Large-Scale Point Cloud Registration. [**`pc.`**]
    • [ICCV - invariant Features for Distant Point Cloud Registration. [**`pc.`**]
    • [ICCV - based Model Registration for Fast 3D Sherd Reconstruction.
    • [ICCV - scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration. [**`pc.`**]
    • [ICCV workshop
    • [CVPR
    • [CVPR - to-Global Registration for Bundle-Adjusting Neural Radiance Fields.
    • [CVPR
    • [CVPR - embedded Explicit Attention Learning for Low-overlap Point Cloud Registration. [**`pc.`**]
    • [AAAI - Net: Fast Image Registration with Band-Limited Deformation.
    • [AAAI
    • [TPAMI
    • [TPAMI - PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration. [**`pc.`**]
    • [TPAMI - Rigid Point Cloud Registration via Learned Functional Map Synchronization. [**`pc.`**]
    • [TPAMI - Time Guaranteed Outlier Removal for Point Cloud Registration. [**`pc.`**]
    • [TPAMI - to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration [**`pc.`**]
    • [TPAMI
    • [TPAMI - Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing.
    • [TPAMI
    • [TPAMI
    • [TPAMI
    • [TPAMI - Based Overlap Matching for Partial Point Cloud Registration. [**`pc.`**]
    • [TPAMI - Modal Image Registration and Fusion.
    • [TPAMI
    • [TPAMI - Order Consistency for Point Cloud Registration With Severe Outliers. [**`pc.`**]
    • [TPAMI - Rigid Registration Using Accelerated Majorization-Minimization.
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MIA
    • [MIA - 3D registration.
    • [MIA - level network for deformable registration of 3D brain MR images.
    • [MIA - Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT.
    • [MIA
    • [MIA
    • [MIA - guided deep feature fusion for joint segmentation and deformable medical image registration.
    • [MIA - shot segmentation for cross-institution male pelvic structures with spatial registration.
    • [MIA - MR image registration with physics-informed neural networks.
    • [MIA - modal registration via keypoints.
    • [MIA - Reg: A pyramidal prediction-correction approach for large deformation image registration.
    • [MIA - based deformable registration for realistic cardiac MR sequence generation from a single frame.
    • [MIA - elastic deformation field.
    • [MIA - loop learning for abdominal MR-to-CT synthesis via simultaneous registration.
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Procedures.
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [CVPR - Registration-with-Maximal-Cliques)] [**`pc.`**]
    • [CVPR - modal Spatial Evaluator [[Code](https://github.com/Kid-Liet/IMSE)] [**`medi.`**]
    • [CVPR - HB/VBReg)] [**`pc.`**]
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [CVPR - based Spatial Consistency for Robust Non-rigid Point Cloud Registration [[Code](https://github.com/qinzheng93/GraphSCNet)] [**`pc.`**]
    • [CVPR - USI3DV/SGHR)] [**`pc.`**]
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI
    • [MICCAI
    • [MICCAI - Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
    • [MICCAI - CTU Registration Method with Structural Point Similarity for FURS Navigation.
    • [MICCAI - Specific Self-supervised Model for Automatic X-Ray/CT Registration [code](https://github.com/BaochangZhang/PSSS_registration)
    • [MICCAI - Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
    • [MICCAI - to-Physical Registration of the Breast.
    • [MICCAI
    • [MICCAI - Guided Cyclical Self-training. [code](https://github.com/multimodallearning/reg-cyclical-self-train)
    • [MICCAI - atlas.brainminds.jp/)
    • [MICCAI - Diao123/MSIR)
    • [MICCAI - MRI Cardiac Deformable Registration. [code](https://github.com/wulalago/GSMorph)
    • [MICCAI
    • [MICCAI
    • [MICCAI - Guided Multimodal 2D-3D Registration.
    • [MICCAI - supervised Anatomical Embedding and Correlation Pyramid
    • [MICCAI - learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. [code](https://github.com/brain-intelligence-lab/GIRNet)
    • [MICCAI - Iterative Vision Transformer. [code](https://github.com/Torbjorn1997/PIViT)
    • [MICCAI - NRAD/CortexMorph)
    • [MICCAI - iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
    • [MICCAI - Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images. [code](https://github.com/xmed-lab/FSDiffReg.git)
    • [MICCAI - Guided Procedures.
    • [MICCAI - universal-multimodal-registration)
    • [MICCAI - Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery.
    • [MICCAI - Ray to CT Rigid Registration Using Scene Coordinate Regression. [code](https://github.com/Pragyanstha/SCR-Registration)
    • [MICCAI
    • [MICCAI - Shot Situation.
    • [MICCAI

  • Acknowledgments

    • Journals

      • ![ - Image-Registration-Organization/awesome-image-registration/graphs/contributors)
      • Yochengliu - point-cloud-analysis](https://github.com/Yochengliu/awesome-point-cloud-analysis)
      • zhulf0804 - PointCloud](https://github.com/zhulf0804/3D-PointCloud)
      • NUAAXQ - point-cloud-analysis-2022](https://github.com/NUAAXQ/awesome-point-cloud-analysis-2022)
      • **visionxiang** - computational-photography](https://github.com/visionxiang/awesome-computational-photography)
      • **tzxiang** - image-alignment-and-stitching](https://github.com/tzxiang/awesome-image-alignment-and-stitching)
      • hoya012
      • **JunMa11** - OpenSourcePapers](https://github.com/JunMa11/MICCAI-OpenSourcePapers)
      • Amusi - object-detection](https://github.com/amusi/awesome-object-detection)
      • **youngfish42** - Federated-Learning-on-Graph-and-Tabular-Data](https://github.com/youngfish42/Awesome-Federated-Learning-on-Graph-and-Tabular-Data)
      • **yzhao062** - detection-resources)

  • 2024

    • [MIA - based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration. [[Code](https://github.com/jianqingzheng/res_aligner_net)] [**`medi.`**]
    • [AAAI
    • [AAAI - Based Junction Detection for Retinal Image Registration.
    • [AAAI - Source Point Cloud Registration. [**`pc.`**]
    • [TPAMI - Invariant and Globally-Aware Descriptors for Point Cloud Registration. [**`pc.`**]
    • [MIA
    • [MIA - less surgical navigation in spine surgery.
    • [AAAI - Time Adaptation via Style and Structure Guidance for Histological Image Registration.
Programming Languages
Python 1
Categories
2022 1,084 2023 424 2020 325 2018 73 2021 67 Books & Tutorials 65 Key Conferences/Workshops/Journals 64 Datasets & Competitions 47 2019 23 2017 18 Toolbox 13 Courses Seminars and Videos 13 Acknowledgments 11 before_2016 9 2024 8 Uncategorized 5 Papers 5
Sub Categories
Journals 61 Books 44 Datasets 30 Competitions 17 Conferences and Workshops 14 Blogs 12 Tutorials 9 Workshops 7 Overview & Survey Papers 5 Uncategorized 5 Remote Sensing 5 Medical Image 4 Videos 4 1987 2 Natural image 2 Courses 2 Point Cloud 2 2016 2 2009 2 2015 2 1992 1
Keywords
registration 1 pytorch-implementation 1 pointcloud 1 large-scale 1 kitti 1 generalization 1 descriptor 1 3dmatch 1