https://github.com/zziz/pwc

This repository is no longer maintained.
https://github.com/zziz/pwc
code cvpr eccv iccv icml machine-learning nips paper
Last synced: about 1 year ago
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This repository is no longer maintained.
Host: GitHub
URL: https://github.com/zziz/pwc
Owner: zziz
Created: 2018-09-02T12:06:52.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2020-01-16T21:38:24.000Z (over 6 years ago)
Last Synced: 2025-01-28T23:49:31.781Z (over 1 year ago)
Topics: code, cvpr, eccv, iccv, icml, machine-learning, nips, paper
Homepage:
Size: 1.57 MB
Stars: 15,402
Watchers: 1,174
Forks: 2,478
Open Issues: 25
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
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README

          




    



| [2018](#2018) | [2017](#2017) | [2016](#2016) | [2015](#2015) | [2014](#2014) | [2013](#2013) | 2012 | 2011 | 2010 | 2009 | 2008 | [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=Papers%20with%20code.%20Sorted%20by%20stars.%20Updated%20weekly.%20&url=https://github.com/zziz/pwc&via=fvzaur&hashtags=machinelearning,paper,code,github) | [Suggestions](https://github.com/zziz/pwc/issues/1) |    

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This work is in continuous progress and update. We are adding new PWC everyday! Tweet me [@fvzaur](https://twitter.com/fvzaur)   

Use [this](https://github.com/zziz/pwc/issues/11) thread to request us your favorite conference to be added to our watchlist and to PWC list.   

#### Weekly updated pushed! 

## 2018

| Title | Conf | Code | Stars |

|:--------|:--------:|:--------:|:--------:|

| [Video-to-Video Synthesis](https://arxiv.org/abs/1808.06601) | NIPS | [code](https://github.com/NVIDIA/vid2vid) | 5578 | 

| [Deep Image Prior](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ulyanov_Deep_Image_Prior_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/DmitryUlyanov/deep-image-prior) | 3736 | 

| [StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_StarGAN_Unified_Generative_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yunjey/StarGAN) | 3405 | 

| [Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network](http://openaccess.thecvf.com/content_ECCV_2018/html/Yao_Feng_Joint_3D_Face_ECCV_2018_paper.html) | ECCV | [code](https://github.com/YadiraF/PRNet) | 2434 | 

| [Learning to See in the Dark](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Learning_to_See_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/cchen156/Learning-to-See-in-the-Dark) | 2326 | 

| [Glow: Generative Flow with Invertible 1x1 Convolutions](http://arxiv.org/abs/1807.03039v2) | NIPS | [code](https://github.com/openai/glow) | 2088 | 

| [Squeeze-and-Excitation Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Squeeze-and-Excitation_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/hujie-frank/SENet) | 1477 | 

| [Efficient Neural Architecture Search via Parameters Sharing](http://proceedings.mlr.press/v80/pham18a.html) | ICML | [code](https://github.com/carpedm20/ENAS-pytorch) | 1382 | 

| [Multimodal Unsupervised Image-to-image Translation](http://openaccess.thecvf.com/content_ECCV_2018/html/Xun_Huang_Multimodal_Unsupervised_Image-to-image_ECCV_2018_paper.html) | ECCV | [code](https://github.com/NVlabs/MUNIT) | 1296 | 

| [Non-Local Neural Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Non-Local_Neural_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/facebookresearch/video-nonlocal-net) | 992 | 

| [Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hara_Can_Spatiotemporal_3D_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/kenshohara/3D-ResNets-PyTorch) | 924 | 

| [Single-Shot Refinement Neural Network for Object Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Single-Shot_Refinement_Neural_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/sfzhang15/RefineDet) | 875 | 

| [Image Generation From Scene Graphs](http://openaccess.thecvf.com/content_cvpr_2018/papers/Johnson_Image_Generation_From_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/google/sg2im) | 851 | 

| [GANimation: Anatomically-aware Facial Animation from a Single Image](http://openaccess.thecvf.com/content_ECCV_2018/html/Albert_Pumarola_Anatomically_Coherent_Facial_ECCV_2018_paper.html) | ECCV | [code](https://github.com/albertpumarola/GANimation) | 772 | 

| [Simple Baselines for Human Pose Estimation and Tracking](http://openaccess.thecvf.com/content_ECCV_2018/html/Bin_Xiao_Simple_Baselines_for_ECCV_2018_paper.html) | ECCV | [code](https://github.com/Microsoft/human-pose-estimation.pytorch) | 752 | 

| [Visualizing the Loss Landscape of Neural Nets](http://arxiv.org/abs/1712.09913v2) | NIPS | [code](https://github.com/tomgoldstein/loss-landscape) | 724 | 

| [Detect-and-Track: Efficient Pose Estimation in Videos](http://openaccess.thecvf.com/content_cvpr_2018/papers/Girdhar_Detect-and-Track_Efficient_Pose_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/facebookresearch/DetectAndTrack) | 650 | 

| [Relation Networks for Object Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Relation_Networks_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/msracver/Relation-Networks-for-Object-Detection) | 635 | 

| [Generative Image Inpainting With Contextual Attention](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Generative_Image_Inpainting_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/JiahuiYu/generative_inpainting) | 609 | 

| [PointCNN](http://arxiv.org/abs/1801.07791v3) | NIPS | [code](https://github.com/yangyanli/PointCNN) | 607 | 

| [Look at Boundary: A Boundary-Aware Face Alignment Algorithm](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Look_at_Boundary_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/wywu/LAB) | 575 | 

| [Pelee: A Real-Time Object Detection System on Mobile Devices](nan) | NIPS | [code](https://github.com/Robert-JunWang/Pelee) | 548 | 

| [Distractor-aware Siamese Networks for Visual Object Tracking](http://openaccess.thecvf.com/content_ECCV_2018/html/Zheng_Zhu_Distractor-aware_Siamese_Networks_ECCV_2018_paper.html) | ECCV | [code](https://github.com/foolwood/DaSiamRPN) | 545 | 

| [Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples](http://proceedings.mlr.press/v80/athalye18a.html) | ICML | [code](https://github.com/anishathalye/obfuscated-gradients) | 535 | 

| [Which Training Methods for GANs do actually Converge?](http://proceedings.mlr.press/v80/mescheder18a.html) | ICML | [code](https://github.com/LMescheder/GAN_stability) | 520 | 

| [End-to-End Recovery of Human Shape and Pose](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kanazawa_End-to-End_Recovery_of_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/akanazawa/hmr) | 502 | 

| [Taskonomy: Disentangling Task Transfer Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zamir_Taskonomy_Disentangling_Task_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/StanfordVL/taskonomy) | 502 | 

| [Cascaded Pyramid Network for Multi-Person Pose Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Cascaded_Pyramid_Network_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/chenyilun95/tf-cpn) | 497 | 

| [Neural 3D Mesh Renderer](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kato_Neural_3D_Mesh_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/hiroharu-kato/neural_renderer) | 489 | 

| [Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Zero-Shot_Recognition_via_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/JudyYe/zero-shot-gcn) | 489 | 

| [In-Place Activated BatchNorm for Memory-Optimized Training of DNNs](http://openaccess.thecvf.com/content_cvpr_2018/papers/Bulo_In-Place_Activated_BatchNorm_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/mapillary/inplace_abn) | 485 | 

| [The Unreasonable Effectiveness of Deep Features as a Perceptual Metric](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_The_Unreasonable_Effectiveness_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/richzhang/PerceptualSimilarity) | 447 | 

| [Frustum PointNets for 3D Object Detection From RGB-D Data](http://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Frustum_PointNets_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/charlesq34/frustum-pointnets) | 434 | 

| [The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Berman_The_LovaSz-Softmax_Loss_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/bermanmaxim/LovaszSoftmax) | 416 | 

| [ICNet for Real-Time Semantic Segmentation on High-Resolution Images](http://openaccess.thecvf.com/content_ECCV_2018/html/Hengshuang_Zhao_ICNet_for_Real-Time_ECCV_2018_paper.html) | ECCV | [code](https://github.com/hszhao/ICNet) | 415 | 

| [PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_PWC-Net_CNNs_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/NVlabs/PWC-Net) | 398 | 

| [Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++](http://openaccess.thecvf.com/content_cvpr_2018/papers/Acuna_Efficient_Interactive_Annotation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/fidler-lab/polyrnn-pp-pytorch) | 397 | 

| [Gibson Env: Real-World Perception for Embodied Agents](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xia_Gibson_Env_Real-World_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/StanfordVL/GibsonEnv) | 385 | 

| [Acquisition of Localization Confidence for Accurate Object Detection](http://openaccess.thecvf.com/content_ECCV_2018/html/Borui_Jiang_Acquisition_of_Localization_ECCV_2018_paper.html) | ECCV | [code](https://github.com/vacancy/PreciseRoIPooling) | 384 | 

| [Noise2Noise: Learning Image Restoration without Clean Data](http://proceedings.mlr.press/v80/lehtinen18a.html) | ICML | [code](https://github.com/yu4u/noise2noise) | 370 | 

| [GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_GeoNet_Geometric_Neural_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yzcjtr/GeoNet) | 359 | 

| [GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yin_GeoNet_Unsupervised_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yzcjtr/GeoNet) | 359 | 

| [A Style-Aware Content Loss for Real-time HD Style Transfer](http://openaccess.thecvf.com/content_ECCV_2018/html/Artsiom_Sanakoyeu_A_Style-aware_Content_ECCV_2018_paper.html) | ECCV | [code](https://github.com/CompVis/adaptive-style-transfer) | 349 | 

| [Soccer on Your Tabletop](http://openaccess.thecvf.com/content_cvpr_2018/papers/Rematas_Soccer_on_Your_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/krematas/soccerontable) | 338 | 

| [Pyramid Stereo Matching Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chang_Pyramid_Stereo_Matching_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/JiaRenChang/PSMNet) | 335 | 

| [Neural Baby Talk](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lu_Neural_Baby_Talk_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jiasenlu/NeuralBabyTalk) | 332 | 

| [License Plate Detection and Recognition in Unconstrained Scenarios](http://openaccess.thecvf.com/content_ECCV_2018/html/Sergio_Silva_License_Plate_Detection_ECCV_2018_paper.html) | ECCV | [code](https://github.com/sergiomsilva/alpr-unconstrained) | 326 | 

| [Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Supervision-by-Registration_An_Unsupervised_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/facebookresearch/supervision-by-registration) | 326 | 

| [Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images](http://openaccess.thecvf.com/content_ECCV_2018/html/Nanyang_Wang_Pixel2Mesh_Generating_3D_ECCV_2018_paper.html) | ECCV | [code](https://github.com/nywang16/Pixel2Mesh) | 323 | 

| [Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Mascharka_Transparency_by_Design_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/davidmascharka/tbd-nets) | 317 | 

| [Fast End-to-End Trainable Guided Filter](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Fast_End-to-End_Trainable_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/wuhuikai/DeepGuidedFilter) | 312 | 

| [Deep Clustering for Unsupervised Learning of Visual Features](http://openaccess.thecvf.com/content_ECCV_2018/html/Mathilde_Caron_Deep_Clustering_for_ECCV_2018_paper.html) | ECCV | [code](https://github.com/facebookresearch/deepcluster) | 302 | 

| [Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Deep_Photo_Enhancer_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/nothinglo/Deep-Photo-Enhancer) | 294 | 

| [Neural Relational Inference for Interacting Systems](http://proceedings.mlr.press/v80/kipf18a.html) | ICML | [code](https://github.com/ethanfetaya/NRI) | 289 | 

| [Adversarially Regularized Autoencoders](http://proceedings.mlr.press/v80/zhao18b.html) | ICML | [code](https://github.com/jakezhaojb/ARAE) | 282 | 

| [Learning to Adapt Structured Output Space for Semantic Segmentation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tsai_Learning_to_Adapt_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/wasidennis/AdaptSegNet) | 280 | 

| [Convolutional Neural Networks With Alternately Updated Clique](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Convolutional_Neural_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/iboing/CliqueNet) | 272 | 

| [Learning to Segment Every Thing](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hu_Learning_to_Segment_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ronghanghu/seg_every_thing) | 269 | 

| [Supervising Unsupervised Learning](http://arxiv.org/abs/1709.05262v2) | NIPS | [code](https://github.com/quinnliu/machineLearning) | 262 | 

| [LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hui_LiteFlowNet_A_Lightweight_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/twhui/LiteFlowNet) | 261 | 

| [Bilinear Attention Networks](http://arxiv.org/abs/1805.07932v1) | NIPS | [code](https://github.com/jnhwkim/ban-vqa) | 258 | 

| [ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation](http://openaccess.thecvf.com/content_ECCV_2018/html/Sachin_Mehta_ESPNet_Efficient_Spatial_ECCV_2018_paper.html) | ECCV | [code](https://github.com/sacmehta/ESPNet) | 254 | 

| [An intriguing failing of convolutional neural networks and the CoordConv solution](https://arxiv.org/abs/1807.03247) | NIPS | [code](https://github.com/mkocabas/CoordConv-pytorch) | 249 | 

| [End-to-End Learning of Motion Representation for Video Understanding](http://openaccess.thecvf.com/content_cvpr_2018/papers/Fan_End-to-End_Learning_of_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/LijieFan/tvnet) | 238 | 

| [Image Super-Resolution Using Very Deep Residual Channel Attention Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Yulun_Zhang_Image_Super-Resolution_Using_ECCV_2018_paper.html) | ECCV | [code](https://github.com/yulunzhang/RCAN) | 234 | 

| [Iterative Visual Reasoning Beyond Convolutions](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Iterative_Visual_Reasoning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/endernewton/iter-reason) | 228 | 

| [Semi-Parametric Image Synthesis](http://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Semi-Parametric_Image_Synthesis_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/xjqicuhk/SIMS) | 226 | 

| [Compressed Video Action Recognition](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Compressed_Video_Action_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/chaoyuaw/pytorch-coviar) | 225 | 

| [Style Aggregated Network for Facial Landmark Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Style_Aggregated_Network_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/D-X-Y/SAN) | 223 | 

| [Pose-Robust Face Recognition via Deep Residual Equivariant Mapping](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Pose-Robust_Face_Recognition_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/penincillin/DREAM) | 220 | 

| [Multi-Content GAN for Few-Shot Font Style Transfer](http://openaccess.thecvf.com/content_cvpr_2018/papers/Azadi_Multi-Content_GAN_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/azadis/MC-GAN) | 218 | 

| [GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models](http://proceedings.mlr.press/v80/you18a.html) | ICML | [code](https://github.com/JiaxuanYou/graph-generation) | 214 | 

| [Referring Relationships](http://openaccess.thecvf.com/content_cvpr_2018/papers/Krishna_Referring_Relationships_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/StanfordVL/ReferringRelationships) | 210 | 

| [MoCoGAN: Decomposing Motion and Content for Video Generation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tulyakov_MoCoGAN_Decomposing_Motion_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/sergeytulyakov/mocogan) | 205 | 

| [Latent Alignment and Variational Attention](http://arxiv.org/abs/1807.03756v1) | NIPS | [code](https://github.com/harvardnlp/var-attn) | 204 | 

| [LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zou_LayoutNet_Reconstructing_the_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zouchuhang/LayoutNet) | 202 | 

| [Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs](http://openaccess.thecvf.com/content_cvpr_2018/papers/Landrieu_Large-Scale_Point_Cloud_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/loicland/superpoint_graph) | 197 | 

| [An End-to-End TextSpotter With Explicit Alignment and Attention](http://openaccess.thecvf.com/content_cvpr_2018/papers/He_An_End-to-End_TextSpotter_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/tonghe90/textspotter) | 195 | 

| [DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/RaphaelMeudec/deblur-gan) | 189 | 

| [SPLATNet: Sparse Lattice Networks for Point Cloud Processing](http://openaccess.thecvf.com/content_cvpr_2018/papers/Su_SPLATNet_Sparse_Lattice_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/NVlabs/splatnet) | 188 | 

| [Attentive Generative Adversarial Network for Raindrop Removal From a Single Image](http://openaccess.thecvf.com/content_cvpr_2018/papers/Qian_Attentive_Generative_Adversarial_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/rui1996/DeRaindrop) | 186 | 

| [Single View Stereo Matching](http://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_Single_View_Stereo_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lawy623/SVS) | 182 | 

| [MegaDepth: Learning Single-View Depth Prediction From Internet Photos](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_MegaDepth_Learning_Single-View_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lixx2938/MegaDepth) | 181 | 

| [ECO: Efficient Convolutional Network for Online Video Understanding](http://openaccess.thecvf.com/content_ECCV_2018/html/Mohammadreza_Zolfaghari_ECO_Efficient_Convolutional_ECCV_2018_paper.html) | ECCV | [code](https://github.com/mzolfaghari/ECO-efficient-video-understanding) | 180 | 

| [Unsupervised Feature Learning via Non-Parametric Instance Discrimination](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Unsupervised_Feature_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zhirongw/lemniscate.pytorch) | 180 | 

| [ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_ST-GAN_Spatial_Transformer_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/chenhsuanlin/spatial-transformer-GAN) | 179 | 

| [Video Based Reconstruction of 3D People Models](http://openaccess.thecvf.com/content_cvpr_2018/papers/Alldieck_Video_Based_Reconstruction_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/thmoa/videoavatars) | 179 | 

| [Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Gupta_Social_GAN_Socially_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/agrimgupta92/sgan) | 178 | 

| [Learning Category-Specific Mesh Reconstruction from Image Collections](http://openaccess.thecvf.com/content_ECCV_2018/html/Angjoo_Kanazawa_Learning_Category-Specific_Mesh_ECCV_2018_paper.html) | ECCV | [code](https://github.com/akanazawa/cmr) | 176 | 

| [Realistic Evaluation of Deep Semi-Supervised Learning Algorithms](http://arxiv.org/abs/1804.09170v2) | NIPS | [code](https://github.com/brain-research/realistic-ssl-evaluation) | 175 | 

| [BSN: Boundary Sensitive Network for Temporal Action Proposal Generation](http://openaccess.thecvf.com/content_ECCV_2018/html/Tianwei_Lin_BSN_Boundary_Sensitive_ECCV_2018_paper.html) | ECCV | [code](https://github.com/wzmsltw/BSN-boundary-sensitive-network) | 175 | 

| [Group Normalization](http://openaccess.thecvf.com/content_ECCV_2018/html/Yuxin_Wu_Group_Normalization_ECCV_2018_paper.html) | ECCV | [code](https://github.com/shaohua0116/Group-Normalization-Tensorflow) | 175 | 

| [Real-Time Seamless Single Shot 6D Object Pose Prediction](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tekin_Real-Time_Seamless_Single_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Microsoft/singleshotpose) | 174 | 

| [MVSNet: Depth Inference for Unstructured Multi-view Stereo](http://openaccess.thecvf.com/content_ECCV_2018/html/Yao_Yao_MVSNet_Depth_Inference_ECCV_2018_paper.html) | ECCV | [code](https://github.com/YoYo000/MVSNet) | 174 | 

| [Neural Motifs: Scene Graph Parsing With Global Context](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zellers_Neural_Motifs_Scene_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/rowanz/neural-motifs) | 171 | 

| [Learning a Single Convolutional Super-Resolution Network for Multiple Degradations](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Learning_a_Single_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/cszn/SRMD) | 169 | 

| [Optimizing Video Object Detection via a Scale-Time Lattice](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Optimizing_Video_Object_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/hellock/scale-time-lattice) | 168 | 

| [MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network](http://openaccess.thecvf.com/content_ECCV_2018/html/Muhammed_Kocabas_MultiPoseNet_Fast_Multi-Person_ECCV_2018_paper.html) | ECCV | [code](https://github.com/salihkaragoz/pose-residual-network-pytorch) | 167 | 

| [Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lv_Unsupervised_Cross-Dataset_Person_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ahangchen/TFusion) | 166 | 

| [Weakly Supervised Instance Segmentation Using Class Peak Response](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Weakly_Supervised_Instance_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ZhouYanzhao/PRM) | 166 | 

| [PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_PlaneNet_Piece-Wise_Planar_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/art-programmer/PlaneNet) | 164 | 

| [Residual Dense Network for Image Super-Resolution](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Residual_Dense_Network_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yulunzhang/RDN) | 163 | 

| [Embodied Question Answering](http://openaccess.thecvf.com/content_cvpr_2018/papers/Das_Embodied_Question_Answering_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/facebookresearch/EmbodiedQA) | 162 | 

| [Evolved Policy Gradients](http://arxiv.org/abs/1802.04821v2) | NIPS | [code](https://github.com/openai/EPG) | 160 | 

| [Camera Style Adaptation for Person Re-Identification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhong_Camera_Style_Adaptation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zhunzhong07/CamStyle) | 159 | 

| [Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer](http://openaccess.thecvf.com/content_cvpr_2018/papers/Fang_Weakly_and_Semi_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/MVIG-SJTU/WSHP) | 159 | 

| [Scale-Recurrent Network for Deep Image Deblurring](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tao_Scale-Recurrent_Network_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jiangsutx/SRN-Deblur) | 159 | 

| [Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhan_Unsupervised_Learning_of_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Huangying-Zhan/Depth-VO-Feat) | 158 | 

| [Relational recurrent neural networks](https://arxiv.org/abs/1806.01822) | NIPS | [code](https://github.com/L0SG/relational-rnn-pytorch) | 157 | 

| [Densely Connected Pyramid Dehazing Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Densely_Connected_Pyramid_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/hezhangsprinter/DCPDN) | 155 | 

| [Image Inpainting for Irregular Holes Using Partial Convolutions](http://openaccess.thecvf.com/content_ECCV_2018/html/Guilin_Liu_Image_Inpainting_for_ECCV_2018_paper.html) | ECCV | [code](https://github.com/naoto0804/pytorch-inpainting-with-partial-conv) | 153 | 

| [SO-Net: Self-Organizing Network for Point Cloud Analysis](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_SO-Net_Self-Organizing_Network_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lijx10/SO-Net) | 152 | 

| [Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Pix3D_Dataset_and_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/xingyuansun/pix3d) | 152 | 

| [ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_ShuffleNet_An_Extremely_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/camel007/Caffe-ShuffleNet) | 152 | 

| [DenseASPP for Semantic Segmentation in Street Scenes](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_DenseASPP_for_Semantic_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/DeepMotionAIResearch/DenseASPP) | 151 | 

| [Facelet-Bank for Fast Portrait Manipulation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Facelet-Bank_for_Fast_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yingcong/Facelet_Bank) | 150 | 

| [Self-Imitation Learning](http://proceedings.mlr.press/v80/oh18b.html) | ICML | [code](https://github.com/junhyukoh/self-imitation-learning) | 145 | 

| [Graph R-CNN for Scene Graph Generation](http://openaccess.thecvf.com/content_ECCV_2018/html/Jianwei_Yang_Graph_R-CNN_for_ECCV_2018_paper.html) | ECCV | [code](https://github.com/jwyang/graph-rcnn.pytorch) | 144 | 

| [A Closer Look at Spatiotemporal Convolutions for Action Recognition](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tran_A_Closer_Look_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/irhumshafkat/R2Plus1D-PyTorch) | 143 | 

| [Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Inoue_Cross-Domain_Weakly-Supervised_Object_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/naoto0804/cross-domain-detection) | 143 | 

| [Quantized Densely Connected U-Nets for Efficient Landmark Localization](http://openaccess.thecvf.com/content_ECCV_2018/html/Zhiqiang_Tang_Quantized_Densely_Connected_ECCV_2018_paper.html) | ECCV | [code](https://github.com/zhiqiangdon/CU-Net) | 143 | 

| [Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining](http://openaccess.thecvf.com/content_ECCV_2018/html/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.html) | ECCV | [code](https://github.com/XiaLiPKU/RESCAN) | 142 | 

| [Two-Stream Convolutional Networks for Dynamic Texture Synthesis](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tesfaldet_Two-Stream_Convolutional_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ryersonvisionlab/two-stream-dyntex-synth) | 141 | 

| [Integral Human Pose Regression](http://openaccess.thecvf.com/content_ECCV_2018/html/Xiao_Sun_Integral_Human_Pose_ECCV_2018_paper.html) | ECCV | [code](https://github.com/JimmySuen/integral-human-pose) | 141 | 

| [Adaptive Affinity Fields for Semantic Segmentation](http://openaccess.thecvf.com/content_ECCV_2018/html/Jyh-Jing_Hwang_Adaptive_Affinity_Field_ECCV_2018_paper.html) | ECCV | [code](https://github.com/twke18/Adaptive_Affinity_Fields) | 141 | 

| [LSTM Pose Machines](http://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_LSTM_Pose_Machines_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lawy623/LSTM_Pose_Machines) | 141 | 

| [Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Structure_Inference_Net_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/choasup/SIN) | 140 | 

| [Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Recovering_Realistic_Texture_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/xinntao/CVPR18-SFTGAN) | 139 | 

| [Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_Image-Image_Domain_Adaptation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Simon4Yan/Learning-via-Translation) | 137 | 

| [Learning to Compare: Relation Network for Few-Shot Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sung_Learning_to_Compare_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lzrobots/LearningToCompare_ZSL) | 135 | 

| [CosFace: Large Margin Cosine Loss for Deep Face Recognition](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_CosFace_Large_Margin_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yule-li/CosFace) | 135 | 

| [Deep Depth Completion of a Single RGB-D Image](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Deep_Depth_Completion_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yindaz/DeepCompletionRelease) | 134 | 

| [Deep Back-Projection Networks for Super-Resolution](http://openaccess.thecvf.com/content_cvpr_2018/papers/Haris_Deep_Back-Projection_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/alterzero/DBPN-Pytorch) | 132 | 

| [Context Embedding Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kim_Context_Embedding_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/thunlp/CANE) | 131 | 

| [Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kendall_Multi-Task_Learning_Using_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/alexgkendall/multitaskvision) | 131 | 

| [Perturbative Neural Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Juefei-Xu_Perturbative_Neural_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/juefeix/pnn.pytorch) | 130 | 

| [Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis](http://proceedings.mlr.press/v80/wang18h.html) | ICML | [code](https://github.com/syang1993/gst-tacotron) | 129 | 

| [Fast and Accurate Online Video Object Segmentation via Tracking Parts](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_Fast_and_Accurate_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/JingchunCheng/FAVOS) | 129 | 

| [Nonlinear 3D Face Morphable Model](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tran_Nonlinear_3D_Face_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/tranluan/Nonlinear_Face_3DMM) | 128 | 

| [BodyNet: Volumetric Inference of 3D Human Body Shapes](http://openaccess.thecvf.com/content_ECCV_2018/html/Gul_Varol_BodyNet_Volumetric_Inference_ECCV_2018_paper.html) | ECCV | [code](https://github.com/gulvarol/bodynet) | 126 | 

| [3D-CODED: 3D Correspondences by Deep Deformation](http://openaccess.thecvf.com/content_ECCV_2018/html/Thibault_Groueix_Shape_correspondences_from_ECCV_2018_paper.html) | ECCV | [code](https://github.com/ThibaultGROUEIX/3D-CODED) | 125 | 

| [DeepMVS: Learning Multi-View Stereopsis](http://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_DeepMVS_Learning_Multi-View_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/phuang17/DeepMVS) | 125 | 

| [Hierarchical Imitation and Reinforcement Learning](http://proceedings.mlr.press/v80/le18a.html) | ICML | [code](https://github.com/hoangminhle/hierarchical_IL_RL) | 124 | 

| [Domain Adaptive Faster R-CNN for Object Detection in the Wild](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Domain_Adaptive_Faster_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yuhuayc/da-faster-rcnn) | 123 | 

| [L4: Practical loss-based stepsize adaptation for deep learning](http://arxiv.org/abs/1802.05074v4) | NIPS | [code](https://github.com/martius-lab/l4-optimizer) | 123 | 

| [A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_A_Generative_Adversarial_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/EthanZhu90/ZSL_GAN_CVPR18) | 122 | 

| [Recurrent Relational Networks](http://arxiv.org/abs/1711.08028v2) | NIPS | [code](https://github.com/rasmusbergpalm/recurrent-relational-networks) | 121 | 

| [Gated Path Planning Networks](http://proceedings.mlr.press/v80/lee18c.html) | ICML | [code](https://github.com/lileee/gated-path-planning-networks) | 121 | 

| [PSANet: Point-wise Spatial Attention Network for Scene Parsing](http://openaccess.thecvf.com/content_ECCV_2018/html/Hengshuang_Zhao_PSANet_Point-wise_Spatial_ECCV_2018_paper.html) | ECCV | [code](https://github.com/hszhao/PSANet) | 121 | 

| [Rethinking Feature Distribution for Loss Functions in Image Classification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wan_Rethinking_Feature_Distribution_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/WeitaoVan/L-GM-loss) | 120 | 

| [Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Density-Aware_Single_Image_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/hezhangsprinter/DID-MDN) | 118 | 

| [FOTS: Fast Oriented Text Spotting With a Unified Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_FOTS_Fast_Oriented_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jiangxiluning/FOTS.PyTorch) | 118 | 

| [ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes](http://openaccess.thecvf.com/content_ECCV_2018/html/Taihong_Xiao_ELEGANT_Exchanging_Latent_ECCV_2018_paper.html) | ECCV | [code](https://github.com/Prinsphield/ELEGANT) | 117 | 

| [PU-Net: Point Cloud Upsampling Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_PU-Net_Point_Cloud_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yulequan/PU-Net) | 117 | 

| [PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Mallya_PackNet_Adding_Multiple_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/arunmallya/packnet) | 117 | 

| [Long-term Tracking in the Wild: a Benchmark](http://openaccess.thecvf.com/content_ECCV_2018/html/Efstratios_Gavves_Long-term_Tracking_in_ECCV_2018_paper.html) | ECCV | [code](https://github.com/oxuva/long-term-tracking-benchmark) | 116 | 

| [Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tulsiani_Factoring_Shape_Pose_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/shubhtuls/factored3d) | 114 | 

| [Repulsion Loss: Detecting Pedestrians in a Crowd](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Repulsion_Loss_Detecting_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/bailvwangzi/repulsion_loss_ssd) | 113 | 

| [Unsupervised Attention-guided Image-to-Image Translation](https://arxiv.org/abs/1806.02311) | NIPS | [code](https://github.com/AlamiMejjati/Unsupervised-Attention-guided-Image-to-Image-Translation) | 110 | 

| [Attention-based Deep Multiple Instance Learning](http://proceedings.mlr.press/v80/ilse18a.html) | ICML | [code](https://github.com/AMLab-Amsterdam/AttentionDeepMIL) | 109 | 

| [Learning Blind Video Temporal Consistency](http://openaccess.thecvf.com/content_ECCV_2018/html/Wei-Sheng_Lai_Real-Time_Blind_Video_ECCV_2018_paper.html) | ECCV | [code](https://github.com/phoenix104104/fast_blind_video_consistency) | 109 | 

| [Noisy Natural Gradient as Variational Inference](http://proceedings.mlr.press/v80/zhang18l.html) | ICML | [code](https://github.com/wlwkgus/NoisyNaturalGradient) | 108 | 

| [End-to-End Weakly-Supervised Semantic Alignment](http://openaccess.thecvf.com/content_cvpr_2018/papers/Rocco_End-to-End_Weakly-Supervised_Semantic_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ignacio-rocco/weakalign) | 106 | 

| [Decoupled Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Decoupled_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/wy1iu/DCNets) | 105 | 

| [LiDAR-Video Driving Dataset: Learning Driving Policies Effectively](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_LiDAR-Video_Driving_Dataset_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/driving-behavior/DBNet) | 104 | 

| [MAttNet: Modular Attention Network for Referring Expression Comprehension](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_MAttNet_Modular_Attention_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lichengunc/MAttNet) | 104 | 

| [LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Dongqing_Zhang_Optimized_Quantization_for_ECCV_2018_paper.html) | ECCV | [code](https://github.com/Microsoft/LQ-Nets) | 103 | 

| [FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_FSRNet_End-to-End_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/tyshiwo/FSRNet) | 100 | 

| [Deep Mutual Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Deep_Mutual_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/YingZhangDUT/Deep-Mutual-Learning) | 100 | 

| [Macro-Micro Adversarial Network for Human Parsing](http://openaccess.thecvf.com/content_ECCV_2018/html/Yawei_Luo_Macro-Micro_Adversarial_Network_ECCV_2018_paper.html) | ECCV | [code](https://github.com/RoyalVane/MMAN) | 98 | 

| [ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dai_ScanComplete_Large-Scale_Scene_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/angeladai/ScanComplete) | 97 | 

| [Learning Depth From Monocular Videos Using Direct Methods](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Depth_From_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/MightyChaos/LKVOLearner) | 97 | 

| [VITON: An Image-Based Virtual Try-On Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Han_VITON_An_Image-Based_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/xthan/VITON) | 95 | 

| [Cascade R-CNN: Delving Into High Quality Object Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cai_Cascade_R-CNN_Delving_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/guoruoqian/cascade-rcnn_Pytorch) | 93 | 

| [Learning Human-Object Interactions by Graph Parsing Neural Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Siyuan_Qi_Learning_Human-Object_Interactions_ECCV_2018_paper.html) | ECCV | [code](https://github.com/SiyuanQi/gpnn) | 93 | 

| [Future Frame Prediction for Anomaly Detection – A New Baseline](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Future_Frame_Prediction_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/StevenLiuWen/ano_pred_cvpr2018) | 92 | 

| [Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence](http://openaccess.thecvf.com/content_ECCV_2018/html/Shao-Hua_Sun_Multi-view_to_Novel_ECCV_2018_paper.html) | ECCV | [code](https://github.com/shaohua0116/Multiview2Novelview) | 92 | 

| [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Tell_Me_Where_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/alokwhitewolf/Guided-Attention-Inference-Network) | 91 | 

| [Neural Kinematic Networks for Unsupervised Motion Retargetting](http://openaccess.thecvf.com/content_cvpr_2018/papers/Villegas_Neural_Kinematic_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/rubenvillegas/cvpr2018nkn) | 90 | 

| [Learning SO(3) Equivariant Representations with Spherical CNNs](http://openaccess.thecvf.com/content_ECCV_2018/html/Carlos_Esteves_Learning_SO3_Equivariant_ECCV_2018_paper.html) | ECCV | [code](https://github.com/daniilidis-group/spherical-cnn) | 89 | 

| [One-Shot Unsupervised Cross Domain Translation](http://arxiv.org/abs/1806.06029v1) | NIPS | [code](https://github.com/sagiebenaim/OneShotTranslation) | 89 | 

| [Synthesizing Images of Humans in Unseen Poses](http://openaccess.thecvf.com/content_cvpr_2018/papers/Balakrishnan_Synthesizing_Images_of_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/balakg/posewarp-cvpr2018) | 88 | 

| [Depth-aware CNN for RGB-D Segmentation](http://openaccess.thecvf.com/content_ECCV_2018/html/Weiyue_Wang_Depth-aware_CNN_for_ECCV_2018_paper.html) | ECCV | [code](https://github.com/laughtervv/DepthAwareCNN) | 88 | 

| [Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights](http://openaccess.thecvf.com/content_ECCV_2018/html/Arun_Mallya_Piggyback_Adapting_a_ECCV_2018_paper.html) | ECCV | [code](https://github.com/arunmallya/piggyback) | 88 | 

| [Knowledge Aided Consistency for Weakly Supervised Phrase Grounding](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Knowledge_Aided_Consistency_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/kanchen-usc/KAC-Net) | 87 | 

| [CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_CSRNet_Dilated_Convolutional_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/leeyeehoo/CSRNet-pytorch) | 87 | 

| [Neural Arithmetic Logic Units](http://arxiv.org/abs/1808.00508v1) | NIPS | [code](https://github.com/llSourcell/Neural_Arithmetic_Logic_Units) | 87 | 

| [A PID Controller Approach for Stochastic Optimization of Deep Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/An_A_PID_Controller_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/tensorboy/PIDOptimizer) | 87 | 

| [VITAL: VIsual Tracking via Adversarial Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ybsong00/Vital_release) | 86 | 

| [Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lifeng9472/STRCF) | 86 | 

| [Recurrent Pixel Embedding for Instance Grouping](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kong_Recurrent_Pixel_Embedding_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/aimerykong/Recurrent-Pixel-Embedding-for-Instance-Grouping) | 85 | 

| [SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SGPN_Similarity_Group_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/laughtervv/SGPN) | 84 | 

| [Multi-Scale Location-Aware Kernel Representation for Object Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Scale_Location-Aware_Kernel_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Hwang64/MLKP) | 84 | 

| [Repeatability Is Not Enough: Learning Affine Regions via Discriminability](http://openaccess.thecvf.com/content_ECCV_2018/html/Dmytro_Mishkin_Repeatability_Is_Not_ECCV_2018_paper.html) | ECCV | [code](https://github.com/ducha-aiki/affnet) | 84 | 

| [“Zero-Shot” Super-Resolution Using Deep Internal Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Shocher_Zero-Shot_Super-Resolution_Using_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/assafshocher/ZSSR) | 84 | 

| [DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency](http://openaccess.thecvf.com/content_ECCV_2018/html/Yuliang_Zou_DF-Net_Unsupervised_Joint_ECCV_2018_paper.html) | ECCV | [code](https://github.com/vt-vl-lab/DF-Net) | 82 | 

| [Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tulsiani_Multi-View_Consistency_as_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/shubhtuls/mvcSnP) | 80 | 

| [Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation](http://openaccess.thecvf.com/content_ECCV_2018/html/Yikang_LI_Factorizable_Net_An_ECCV_2018_paper.html) | ECCV | [code](https://github.com/yikang-li/FactorizableNet) | 78 | 

| [Generalizing A Person Retrieval Model Hetero- and Homogeneously](http://openaccess.thecvf.com/content_ECCV_2018/html/Zhun_Zhong_Generalizing_A_Person_ECCV_2018_paper.html) | ECCV | [code](https://github.com/zhunzhong07/HHL) | 78 | 

| [Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Crafting_a_Toolchain_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yuke93/RL-Restore) | 77 | 

| [Pairwise Confusion for Fine-Grained Visual Classification](http://openaccess.thecvf.com/content_ECCV_2018/html/Abhimanyu_Dubey_Improving_Fine-Grained_Visual_ECCV_2018_paper.html) | ECCV | [code](https://github.com/abhimanyudubey/confusion) | 77 | 

| [Learning to Reweight Examples for Robust Deep Learning](http://proceedings.mlr.press/v80/ren18a.html) | ICML | [code](https://github.com/danieltan07/learning-to-reweight-examples) | 76 | 

| [Improving Generalization via  Scalable Neighborhood Component Analysis](http://openaccess.thecvf.com/content_ECCV_2018/html/Zhirong_Wu_Improving_Embedding_Generalization_ECCV_2018_paper.html) | ECCV | [code](https://github.com/Microsoft/snca.pytorch) | 76 | 

| [SparseMAP: Differentiable Sparse Structured Inference](http://proceedings.mlr.press/v80/niculae18a.html) | ICML | [code](https://github.com/vene/sparsemap) | 75 | 

| [PDE-Net: Learning PDEs from Data](http://proceedings.mlr.press/v80/long18a.html) | ICML | [code](https://github.com/ZichaoLong/PDE-Net) | 75 | 

| [Pose-Normalized Image Generation for Person Re-identification](http://openaccess.thecvf.com/content_ECCV_2018/html/Xuelin_Qian_Pose-Normalized_Image_Generation_ECCV_2018_paper.html) | ECCV | [code](https://github.com/naiq/PN_GAN) | 75 | 

| [Disentangled Person Image Generation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ma_Disentangled_Person_Image_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/charliememory/Disentangled-Person-Image-Generation) | 75 | 

| [Learning to Navigate for Fine-grained Classification](http://openaccess.thecvf.com/content_ECCV_2018/html/Ze_Yang_Learning_to_Navigate_ECCV_2018_paper.html) | ECCV | [code](https://github.com/yangze0930/NTS-Net) | 74 | 

| [Superpixel Sampling Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Varun_Jampani_Superpixel_Sampling_Networks_ECCV_2018_paper.html) | ECCV | [code](https://github.com/NVlabs/ssn_superpixels) | 74 | 

| [Shift-Net: Image Inpainting via Deep Feature Rearrangement](http://openaccess.thecvf.com/content_ECCV_2018/html/Zhaoyi_Yan_Shift-Net_Image_Inpainting_ECCV_2018_paper.html) | ECCV | [code](https://github.com/Zhaoyi-Yan/Shift-Net_pytorch) | 74 | 

| [3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation](http://openaccess.thecvf.com/content_ECCV_2018/html/Angela_Dai_3DMV_Joint_3D-Multi-View_ECCV_2018_paper.html) | ECCV | [code](https://github.com/angeladai/3DMV) | 74 | 

| [Ordinal Depth Supervision for 3D Human Pose Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Pavlakos_Ordinal_Depth_Supervision_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/geopavlakos/ordinal-pose3d) | 74 | 

| [Path-Level Network Transformation for Efficient Architecture Search](http://proceedings.mlr.press/v80/cai18a.html) | ICML | [code](https://github.com/han-cai/PathLevel-EAS) | 73 | 

| [Diverse Image-to-Image Translation via Disentangled Representations](http://openaccess.thecvf.com/content_ECCV_2018/html/Hsin-Ying_Lee_Diverse_Image-to-Image_Translation_ECCV_2018_paper.html) | ECCV | [code](https://github.com/taki0112/DRIT-Tensorflow) | 72 | 

| [Visual Feature Attribution Using Wasserstein GANs](http://openaccess.thecvf.com/content_cvpr_2018/papers/Baumgartner_Visual_Feature_Attribution_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/orobix/Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch) | 72 | 

| [Real-World Anomaly Detection in Surveillance Videos](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sultani_Real-World_Anomaly_Detection_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/WaqasSultani/AnomalyDetectionCVPR2018) | 72 | 

| [Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Self-Supervised_Adversarial_Hashing_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lelan-li/SSAH) | 72 | 

| [Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image](http://openaccess.thecvf.com/content_ECCV_2018/html/Siyuan_Huang_Monocular_Scene_Parsing_ECCV_2018_paper.html) | ECCV | [code](https://github.com/thusiyuan/holistic_scene_parsing) | 72 | 

| [Learning to Find Good Correspondences](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yi_Learning_to_Find_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/vcg-uvic/learned-correspondence-release) | 72 | 

| [Learning Less Is More - 6D Camera Localization via 3D Surface Regression](http://openaccess.thecvf.com/content_cvpr_2018/papers/Brachmann_Learning_Less_Is_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/vislearn/LessMore) | 72 | 

| [Object Level Visual Reasoning in Videos](http://openaccess.thecvf.com/content_ECCV_2018/html/Fabien_Baradel_Object_Level_Visual_ECCV_2018_paper.html) | ECCV | [code](https://github.com/fabienbaradel/object_level_visual_reasoning) | 71 | 

| [Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing](http://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/speedinghzl/DSRG) | 71 | 

| [Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sheng_Avatar-Net_Multi-Scale_Zero-Shot_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/LucasSheng/avatar-net) | 71 | 

| [Fast and Accurate Single Image Super-Resolution via Information Distillation Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hui_Fast_and_Accurate_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Zheng222/IDN-Caffe) | 71 | 

| [Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Regularizing_RNNs_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/chenxinpeng/ARNet) | 70 | 

| [Multi-Shot Pedestrian Re-Identification via Sequential Decision Making](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Multi-Shot_Pedestrian_Re-Identification_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/TuSimple/rl-multishot-reid) | 70 | 

| [PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition](http://openaccess.thecvf.com/content_cvpr_2018/papers/Uy_PointNetVLAD_Deep_Point_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/mikacuy/pointnetvlad) | 69 | 

| [Progressive Neural Architecture Search](http://openaccess.thecvf.com/content_ECCV_2018/html/Chenxi_Liu_Progressive_Neural_Architecture_ECCV_2018_paper.html) | ECCV | [code](https://github.com/titu1994/progressive-neural-architecture-search) | 68 | 

| [Generative Neural Machine Translation](http://arxiv.org/abs/1806.05138v1) | NIPS | [code](https://github.com/ZhenYangIACAS/NMT_GAN) | 68 | 

| [Learning Latent Super-Events to Detect Multiple Activities in Videos](http://openaccess.thecvf.com/content_cvpr_2018/papers/Piergiovanni_Learning_Latent_Super-Events_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/piergiaj/super-events-cvpr18) | 67 | 

| [Generate to Adapt: Aligning Domains Using Generative Adversarial Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sankaranarayanan_Generate_to_Adapt_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yogeshbalaji/Generate_To_Adapt) | 67 | 

| [Adversarial Feature Augmentation for Unsupervised Domain Adaptation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Volpi_Adversarial_Feature_Augmentation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ricvolpi/adversarial-feature-augmentation) | 67 | 

| [Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Attentions_Residual_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/foolwood/RASNet) | 67 | 

| [Pointwise Convolutional Neural Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hua_Pointwise_Convolutional_Neural_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/scenenn/pointwise) | 67 | 

| [Optimizing the Latent Space of Generative Networks](http://proceedings.mlr.press/v80/bojanowski18a.html) | ICML | [code](https://github.com/tneumann/minimal_glo) | 66 | 

| [Part-Aligned Bilinear Representations for Person Re-Identification](http://openaccess.thecvf.com/content_ECCV_2018/html/Yumin_Suh_Part-Aligned_Bilinear_Representations_ECCV_2018_paper.html) | ECCV | [code](https://github.com/yuminsuh/part_bilinear_reid) | 64 | 

| [Geometry-Aware Learning of Maps for Camera Localization](http://openaccess.thecvf.com/content_cvpr_2018/papers/Brahmbhatt_Geometry-Aware_Learning_of_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/samarth-robo/MapNet) | 63 | 

| [Fighting Fake News: Image Splice Detection via Learned Self-Consistency](http://openaccess.thecvf.com/content_ECCV_2018/html/Jacob_Huh_Fighting_Fake_News_ECCV_2018_paper.html) | ECCV | [code](https://github.com/minyoungg/selfconsistency) | 62 | 

| [Isolating Sources of Disentanglement in Variational Autoencoders](http://arxiv.org/abs/1802.04942v2) | NIPS | [code](https://github.com/rtqichen/beta-tcvae) | 62 | 

| [Neural Program Synthesis from Diverse Demonstration Videos](http://proceedings.mlr.press/v80/sun18a.html) | ICML | [code](https://github.com/shaohua0116/demo2program) | 62 | 

| [Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation](http://openaccess.thecvf.com/content_ECCV_2018/html/Zhaoyang_Lv_Learning_Rigidity_in_ECCV_2018_paper.html) | ECCV | [code](https://github.com/NVlabs/learningrigidity) | 61 | 

| [Rotation-Sensitive Regression for Oriented Scene Text Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liao_Rotation-Sensitive_Regression_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/MhLiao/RRD) | 61 | 

| [Human Semantic Parsing for Person Re-Identification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kalayeh_Human_Semantic_Parsing_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/emrahbasaran/SPReID) | 61 | 

| [Unsupervised Discovery of Object Landmarks as Structural Representations](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Unsupervised_Discovery_of_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/YutingZhang/lmdis-rep) | 61 | 

| [IQA: Visual Question Answering in Interactive Environments](http://openaccess.thecvf.com/content_cvpr_2018/papers/Gordon_IQA_Visual_Question_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/danielgordon10/thor-iqa-cvpr-2018) | 60 | 

| [Hierarchical Long-term Video Prediction without Supervision](http://proceedings.mlr.press/v80/wichers18a.html) | ICML | [code](https://github.com/brain-research/long-term-video-prediction-without-supervision) | 60 | 

| [Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency](http://openaccess.thecvf.com/content_ECCV_2018/html/Xingyi_Zhou_Unsupervised_Domain_Adaptation_ECCV_2018_paper.html) | ECCV | [code](https://github.com/xingyizhou/3DKeypoints-DA) | 60 | 

| [Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_Exploit_the_Unknown_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Yu-Wu/Exploit-Unknown-Gradually) | 59 | 

| [Neural Style Transfer via Meta Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_Neural_Style_Transfer_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/FalongShen/styletransfer) | 59 | 

| [Frame-Recurrent Video Super-Resolution](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sajjadi_Frame-Recurrent_Video_Super-Resolution_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/msmsajjadi/FRVSR) | 58 | 

| [PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction](http://openaccess.thecvf.com/content_ECCV_2018/html/Yifei_Shi_PlaneMatch_Patch_Coplanarity_ECCV_2018_paper.html) | ECCV | [code](https://github.com/yifeishi/PlaneMatch) | 57 | 

| [CBAM: Convolutional Block Attention Module](http://openaccess.thecvf.com/content_ECCV_2018/html/Sanghyun_Woo_Convolutional_Block_Attention_ECCV_2018_paper.html) | ECCV | [code](https://github.com/Youngkl0726/Convolutional-Block-Attention-Module) | 57 | 

| [Decorrelated Batch Normalization](http://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Decorrelated_Batch_Normalization_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/umich-vl/DecorrelatedBN) | 57 | 

| [Learning Conditioned Graph Structures for Interpretable Visual Question Answering](nan) | NIPS | [code](https://github.com/aimbrain/vqa-project) | 57 | 

| [Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition](http://openaccess.thecvf.com/content_ECCV_2018/html/Chaojian_Yu_Hierarchical_Bilinear_Pooling_ECCV_2018_paper.html) | ECCV | [code](https://github.com/ChaojianYu/Hierarchical-Bilinear-Pooling) | 57 | 

| [Leveraging Unlabeled Data for Crowd Counting by Learning to Rank](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Leveraging_Unlabeled_Data_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/xialeiliu/CrowdCountingCVPR18) | 56 | 

| [Deep Marching Cubes: Learning Explicit Surface Representations](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liao_Deep_Marching_Cubes_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yiyiliao/deep_marching_cubes) | 56 | 

| [Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sankaranarayanan_Learning_From_Synthetic_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/swamiviv/LSD-seg) | 56 | 

| [LF-Net: Learning Local Features from Images](https://arxiv.org/abs/1805.09662) | NIPS | [code](https://github.com/vcg-uvic/lf-net-release) | 55 | 

| [Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model](http://openaccess.thecvf.com/content_ECCV_2018/html/Baris_Gecer_Semi-supervised_Adversarial_Learning_ECCV_2018_paper.html) | ECCV | [code](https://github.com/barisgecer/facegan) | 55 | 

| [Discriminability Objective for Training Descriptive Captions](http://openaccess.thecvf.com/content_cvpr_2018/papers/Luo_Discriminability_Objective_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ruotianluo/DiscCaptioning) | 54 | 

| [BlockDrop: Dynamic Inference Paths in Residual Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wu_BlockDrop_Dynamic_Inference_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Tushar-N/blockdrop) | 54 | 

| [Conditional Probability Models for Deep Image Compression](http://openaccess.thecvf.com/content_cvpr_2018/papers/Mentzer_Conditional_Probability_Models_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/fab-jul/imgcomp-cvpr) | 54 | 

| [Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Peng_Jointly_Optimize_Data_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zhiqiangdon/pose-adv-aug) | 54 | 

| [Learning towards Minimum Hyperspherical Energy](http://arxiv.org/abs/1805.09298v4) | NIPS | [code](https://github.com/wy1iu/MHE) | 54 | 

| [DeepVS: A Deep Learning Based Video Saliency Prediction Approach](http://openaccess.thecvf.com/content_ECCV_2018/html/Lai_Jiang_DeepVS_A_Deep_ECCV_2018_paper.html) | ECCV | [code](https://github.com/remega/OMCNN_2CLSTM) | 53 | 

| [Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting](http://openaccess.thecvf.com/content_ECCV_2018/html/Wei_Liu_Learning_Efficient_Single-stage_ECCV_2018_paper.html) | ECCV | [code](https://github.com/liuwei16/ALFNet) | 52 | 

| [Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ahn_Learning_Pixel-Level_Semantic_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jiwoon-ahn/psa) | 52 | 

| [Wasserstein Introspective Neural Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Wasserstein_Introspective_Neural_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/kjunelee/WINN) | 51 | 

| [SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_SketchyGAN_Towards_Diverse_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/wchen342/SketchyGAN) | 51 | 

| [Self-produced Guidance for Weakly-supervised Object Localization](http://openaccess.thecvf.com/content_ECCV_2018/html/Xiaolin_Zhang_Self-produced_Guidance_for_ECCV_2018_paper.html) | ECCV | [code](https://github.com/xiaomengyc/SPG) | 51 | 

| [Measuring abstract reasoning in neural networks](http://proceedings.mlr.press/v80/santoro18a.html) | ICML | [code](https://github.com/deepmind/abstract-reasoning-matrices) | 51 | 

| [A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation](https://arxiv.org/abs/1809.01361) | NIPS | [code](https://github.com/XenderLiu/UFDN) | 51 | 

| [RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials](http://openaccess.thecvf.com/content_cvpr_2018/papers/Paschalidou_RayNet_Learning_Volumetric_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/paschalidoud/raynet) | 51 | 

| [Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation](http://openaccess.thecvf.com/content_ECCV_2018/html/Hyojin_Bahng_Coloring_with_Words_ECCV_2018_paper.html) | ECCV | [code](https://github.com/awesome-davian/Text2Colors) | 50 | 

| [Efficient end-to-end learning for quantizable representations](http://proceedings.mlr.press/v80/jeong18a.html) | ICML | [code](https://github.com/maestrojeong/Deep-Hash-Table-ICML18) | 50 | 

| [Visual Question Generation as Dual Task of Visual Question Answering](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Visual_Question_Generation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yikang-li/iQAN) | 50 | 

| [Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam](http://proceedings.mlr.press/v80/khan18a.html) | ICML | [code](https://github.com/emtiyaz/vadam) | 49 | 

| [Surface Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kostrikov_Surface_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jiangzhongshi/SurfaceNetworks) | 48 | 

| [Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions](http://proceedings.mlr.press/v80/wu18h.html) | ICML | [code](https://github.com/Sandbox3aster/Deep-K-Means-pytorch) | 48 | 

| [Stacked Cross Attention for Image-Text Matching](http://openaccess.thecvf.com/content_ECCV_2018/html/Kuang-Huei_Lee_Stacked_Cross_Attention_ECCV_2018_paper.html) | ECCV | [code](https://github.com/kuanghuei/SCAN) | 48 | 

| [Actor and Observer: Joint Modeling of First and Third-Person Videos](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sigurdsson_Actor_and_Observer_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/gsig/actor-observer) | 48 | 

| [Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Jiang_Super_SloMo_High_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/TheFairBear/Super-SlowMo) | 47 | 

| [Learning-based Video Motion Magnification](http://openaccess.thecvf.com/content_ECCV_2018/html/Tae-Hyun_Oh_Learning-based_Video_Motion_ECCV_2018_paper.html) | ECCV | [code](https://github.com/12dmodel/deep_motion_mag) | 47 | 

| [Pose Partition Networks for Multi-Person Pose Estimation](http://openaccess.thecvf.com/content_ECCV_2018/html/Xuecheng_Nie_Pose_Partition_Networks_ECCV_2018_paper.html) | ECCV | [code](https://github.com/NieXC/pytorch-ppn) | 47 | 

| [Neural Autoregressive Flows](http://proceedings.mlr.press/v80/huang18d.html) | ICML | [code](https://github.com/CW-Huang/NAF) | 47 | 

| [Weakly- and Semi-Supervised Panoptic Segmentation](http://openaccess.thecvf.com/content_ECCV_2018/html/Anurag_Arnab_Weakly-_and_Semi-Supervised_ECCV_2018_paper.html) | ECCV | [code](https://github.com/qizhuli/Weakly-Supervised-Panoptic-Segmentation) | 46 | 

| [Video Re-localization](http://openaccess.thecvf.com/content_ECCV_2018/html/Yang_Feng_Video_Re-localization_via_ECCV_2018_paper.html) | ECCV | [code](https://github.com/fengyang0317/video_reloc) | 46 | 

| [Real-time 'Actor-Critic' Tracking](http://openaccess.thecvf.com/content_ECCV_2018/html/Boyu_Chen_Real-time_Actor-Critic_Tracking_ECCV_2018_paper.html) | ECCV | [code](https://github.com/bychen515/ACT) | 46 | 

| [Black-box Adversarial Attacks with Limited Queries and Information](http://proceedings.mlr.press/v80/ilyas18a.html) | ICML | [code](https://github.com/labsix/limited-blackbox-attacks) | 46 | 

| [Hyperbolic Entailment Cones for Learning Hierarchical Embeddings](http://proceedings.mlr.press/v80/ganea18a.html) | ICML | [code](https://github.com/dalab/hyperbolic_cones) | 46 | 

| [Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Structured_Attention_Guided_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/danxuhk/StructuredAttentionDepthEstimation) | 46 | 

| [Differentiable Compositional Kernel Learning for Gaussian Processes](http://proceedings.mlr.press/v80/sun18e.html) | ICML | [code](https://github.com/ssydasheng/Neural-Kernel-Network) | 45 | 

| [Visualizing and Understanding Atari Agents](http://proceedings.mlr.press/v80/greydanus18a.html) | ICML | [code](https://github.com/greydanus/visualize_atari) | 45 | 

| [Image Manipulation with Perceptual Discriminators](http://openaccess.thecvf.com/content_ECCV_2018/html/Diana_Sungatullina_Image_Manipulation_with_ECCV_2018_paper.html) | ECCV | [code](https://github.com/egorzakharov/PerceptualGAN) | 45 | 

| [Learning Intrinsic Image Decomposition From Watching the World](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Intrinsic_Image_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lixx2938/unsupervised-learning-intrinsic-images) | 45 | 

| [Overcoming Catastrophic Forgetting with Hard Attention to the Task](http://proceedings.mlr.press/v80/serra18a.html) | ICML | [code](https://github.com/joansj/hat) | 44 | 

| [Learning Pose Specific Representations by Predicting Different Views](http://openaccess.thecvf.com/content_cvpr_2018/papers/Poier_Learning_Pose_Specific_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/poier/PreView) | 44 | 

| [Zero-Shot Object Detection](http://openaccess.thecvf.com/content_ECCV_2018/html/Ankan_Bansal_Zero-Shot_Object_Detection_ECCV_2018_paper.html) | ECCV | [code](https://github.com/salman-h-khan/ZSD_Release) | 43 | 

| [Mean Field Multi-Agent Reinforcement Learning](http://proceedings.mlr.press/v80/yang18d.html) | ICML | [code](https://github.com/mlii/mfrl) | 43 | 

| [Partial Adversarial Domain Adaptation](http://openaccess.thecvf.com/content_ECCV_2018/html/Zhangjie_Cao_Partial_Adversarial_Domain_ECCV_2018_paper.html) | ECCV | [code](https://github.com/thuml/PADA) | 43 | 

| [Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation](http://openaccess.thecvf.com/content_ECCV_2018/html/Xuecheng_Nie_Mutual_Learning_to_ECCV_2018_paper.html) | ECCV | [code](https://github.com/NieXC/pytorch-mula) | 43 | 

| [Robust Classification With Convolutional Prototype Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_Robust_Classification_With_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/YangHM/Convolutional-Prototype-Learning) | 43 | 

| [SimplE Embedding for Link Prediction in Knowledge Graphs](http://arxiv.org/abs/1802.04868v1) | NIPS | [code](https://github.com/Mehran-k/SimplE) | 42 | 

| [PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning](http://proceedings.mlr.press/v80/wang18b.html) | ICML | [code](https://github.com/Yunbo426/predrnn-pp) | 42 | 

| [Learning to Blend Photos](http://openaccess.thecvf.com/content_ECCV_2018/html/Wei-Chih_Hung_Learning_to_Blend_ECCV_2018_paper.html) | ECCV | [code](https://github.com/hfslyc/LearnToBlend) | 42 | 

| [Mask-Guided Contrastive Attention Model for Person Re-Identification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Mask-Guided_Contrastive_Attention_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/developfeng/MGCAM) | 41 | 

| [Link Prediction Based on Graph Neural Networks](http://arxiv.org/abs/1802.09691v2) | NIPS | [code](https://github.com/muhanzhang/SEAL) | 41 | 

| [Generalisation in humans and deep neural networks](http://arxiv.org/abs/1808.08750v1) | NIPS | [code](https://github.com/rgeirhos/generalisation-humans-DNNs) | 41 | 

| [Towards Binary-Valued Gates for Robust LSTM Training](http://proceedings.mlr.press/v80/li18c.html) | ICML | [code](https://github.com/zhuohan123/g2-lstm) | 41 | 

| [Multi-scale Residual Network for Image Super-Resolution](http://openaccess.thecvf.com/content_ECCV_2018/html/Juncheng_Li_Multi-scale_Residual_Network_ECCV_2018_paper.html) | ECCV | [code](https://github.com/MIVRC/MSRN-PyTorch) | 41 | 

| [Fully Motion-Aware Network for Video Object Detection](http://openaccess.thecvf.com/content_ECCV_2018/html/Shiyao_Wang_Fully_Motion-Aware_Network_ECCV_2018_paper.html) | ECCV | [code](https://github.com/wangshy31/MANet_for_Video_Object_Detection) | 41 | 

| [Interpretable Convolutional Neural Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Interpretable_Convolutional_Neural_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/seongjunyun/CNN-with-Dual-Local-and-Global-Attention) | 40 | 

| [Generative Adversarial Perturbations](http://openaccess.thecvf.com/content_cvpr_2018/papers/Poursaeed_Generative_Adversarial_Perturbations_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/OmidPoursaeed/Generative_Adversarial_Perturbations) | 40 | 

| [The Sound of Pixels](http://openaccess.thecvf.com/content_ECCV_2018/html/Hang_Zhao_The_Sound_of_ECCV_2018_paper.html) | ECCV | [code](https://github.com/roudimit/MUSIC_dataset) | 40 | 

| [Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Towards_Faster_Training_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jiangtaoxie/fast-MPN-COV) | 40 | 

| [Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance](http://openaccess.thecvf.com/content_ECCV_2018/html/Ramprasaath_Ramasamy_Selvaraju_Choose_Your_Neuron_ECCV_2018_paper.html) | ECCV | [code](https://github.com/ramprs/neuron-importance-zsl) | 40 | 

| [Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation](https://arxiv.org/abs/1802.09987) | NIPS | [code](https://github.com/EdwardSmith1884/Multi-View-Silhouette-and-Depth-Decomposition-for-High-Resolution-3D-Object-Representation) | 40 | 

| [Learning Warped Guidance for Blind Face Restoration](http://openaccess.thecvf.com/content_ECCV_2018/html/Xiaoming_Li_Learning_Warped_Guidance_ECCV_2018_paper.html) | ECCV | [code](https://github.com/csxmli2016/GFRNet) | 39 | 

| [Adversarial Complementary Learning for Weakly Supervised Object Localization](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Adversarial_Complementary_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/xiaomengyc/ACoL) | 39 | 

| [Learning Semantic Representations for Unsupervised Domain Adaptation](http://proceedings.mlr.press/v80/xie18c.html) | ICML | [code](https://github.com/Mid-Push/Moving-Semantic-Transfer-Network) | 39 | 

| [Neural Architecture Search with Bayesian Optimisation and Optimal Transport](https://arxiv.org/abs/1802.07191) | NIPS | [code](https://github.com/kirthevasank/nasbot) | 39 | 

| [Mutual Information Neural Estimation](http://proceedings.mlr.press/v80/belghazi18a.html) | ICML | [code](https://github.com/MasanoriYamada/Mine_pytorch) | 39 | 

| [NetGAN: Generating Graphs via Random Walks](http://proceedings.mlr.press/v80/bojchevski18a.html) | ICML | [code](https://github.com/danielzuegner/netgan) | 39 | 

| [Learning to Evaluate Image Captioning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cui_Learning_to_Evaluate_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/richardaecn/cvpr18-caption-eval) | 38 | 

| [Hyperbolic Neural Networks](http://arxiv.org/abs/1805.09112v2) | NIPS | [code](https://github.com/dalab/hyperbolic_nn) | 37 | 

| [Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation](http://openaccess.thecvf.com/content_ECCV_2018/html/Helge_Rhodin_Unsupervised_Geometry-Aware_Representation_ECCV_2018_paper.html) | ECCV | [code](https://github.com/hrhodin/UnsupervisedGeometryAwareRepresentationLearning) | 37 | 

| [Adversarially Learned One-Class Classifier for Novelty Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sabokrou_Adversarially_Learned_One-Class_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/khalooei/ALOCC-CVPR2018) | 37 | 

| [Disentangling by Factorising](http://proceedings.mlr.press/v80/kim18b.html) | ICML | [code](https://github.com/1Konny/FactorVAE) | 37 | 

| [Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples](http://proceedings.mlr.press/v80/weiss18a.html) | ICML | [code](https://github.com/tech-srl/lstar_extraction) | 37 | 

| [Tangent Convolutions for Dense Prediction in 3D](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tatarchenko_Tangent_Convolutions_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/tatarchm/tangent_conv) | 37 | 

| [Few-Shot Image Recognition by Predicting Parameters From Activations](http://openaccess.thecvf.com/content_cvpr_2018/papers/Qiao_Few-Shot_Image_Recognition_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/joe-siyuan-qiao/FewShot-CVPR) | 37 | 

| [Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer](http://openaccess.thecvf.com/content_cvpr_2018/papers/Atapour-Abarghouei_Real-Time_Monocular_Depth_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/atapour/monocularDepth-Inference) | 37 | 

| [Generalizing to Unseen Domains via Adversarial Data Augmentation](http://arxiv.org/abs/1805.12018v1) | NIPS | [code](https://github.com/ricvolpi/generalize-unseen-domains) | 36 | 

| [SeGAN: Segmenting and Generating the Invisible](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ehsani_SeGAN_Segmenting_and_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ehsanik/SeGAN) | 36 | 

| [Graphical Generative Adversarial Networks](http://arxiv.org/abs/1804.03429v1) | NIPS | [code](https://github.com/zhenxuan00/graphical-gan) | 36 | 

| [PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference](http://openaccess.thecvf.com/content_cvpr_2018/papers/Prashnani_PieAPP_Perceptual_Image-Error_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/prashnani/PerceptualImageError) | 36 | 

| [Gated Fusion Network for Single Image Dehazing](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ren_Gated_Fusion_Network_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/rwenqi/GFN-dehazing) | 35 | 

| [Neural Code Comprehension: A Learnable Representation of Code Semantics](http://arxiv.org/abs/1806.07336v2) | NIPS | [code](https://github.com/spcl/ncc) | 35 | 

| [Eye In-Painting With Exemplar Generative Adversarial Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dolhansky_Eye_In-Painting_With_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zhangqianhui/Exemplar-GAN-Eye-Inpainting-Tensorflow) | 35 | 

| [Deep One-Class Classification](http://proceedings.mlr.press/v80/ruff18a.html) | ICML | [code](https://github.com/lukasruff/Deep-SVDD) | 34 | 

| [Deep Regression Tracking with Shrinkage Loss](http://openaccess.thecvf.com/content_ECCV_2018/html/Xiankai_Lu_Deep_Regression_Tracking_ECCV_2018_paper.html) | ECCV | [code](https://github.com/chaoma99/DSLT) | 34 | 

| [Deflecting Adversarial Attacks With Pixel Deflection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Prakash_Deflecting_Adversarial_Attacks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/iamaaditya/pixel-deflection) | 34 | 

| [Learning Visual Question Answering by Bootstrapping Hard Attention](http://openaccess.thecvf.com/content_ECCV_2018/html/Mateusz_Malinowski_Learning_Visual_Question_ECCV_2018_paper.html) | ECCV | [code](https://github.com/gnouhp/PyTorch-AdaHAN) | 33 | 

| [Human-Centric Indoor Scene Synthesis Using Stochastic Grammar](http://openaccess.thecvf.com/content_cvpr_2018/papers/Qi_Human-Centric_Indoor_Scene_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/SiyuanQi/human-centric-scene-synthesis) | 33 | 

| [Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering](http://openaccess.thecvf.com/content_cvpr_2018/papers/Nguyen_Improved_Fusion_of_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/cvlab-tohoku/Dense-CoAttention-Network) | 33 | 

| [CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_CleanNet_Transfer_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/kuanghuei/clean-net) | 33 | 

| [Speaker-Follower Models for Vision-and-Language Navigation](https://arxiv.org/abs/1806.02724) | NIPS | [code](https://github.com/ronghanghu/speaker_follower) | 33 | 

| [Improving Shape Deformation in Unsupervised Image-to-Image Translation](http://openaccess.thecvf.com/content_ECCV_2018/html/Aaron_Gokaslan_Improving_Shape_Deformation_ECCV_2018_paper.html) | ECCV | [code](https://github.com/brownvc/ganimorph) | 33 | 

| [Learning Single-View 3D Reconstruction with Limited Pose Supervision](http://openaccess.thecvf.com/content_ECCV_2018/html/Guandao_Yang_A_Unified_Framework_ECCV_2018_paper.html) | ECCV | [code](https://github.com/stevenygd/3d-recon) | 33 | 

| [3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data](https://arxiv.org/abs/1807.02547) | NIPS | [code](https://github.com/mariogeiger/se3cnn) | 33 | 

| [Adversarial Logit Pairing](http://arxiv.org/abs/1803.06373v1) | NIPS | [code](https://github.com/labsix/adversarial-logit-pairing-analysis) | 32 | 

| [Attention in Convolutional LSTM for Gesture Recognition](https://nips.cc/Conferences/2018/Schedule?showEvent=11207) | NIPS | [code](https://github.com/GuangmingZhu/AttentionConvLSTM) | 32 | 

| [Graph-Cut RANSAC](http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/danini/graph-cut-ransac) | 32 | 

| [Neural Guided Constraint Logic Programming for Program Synthesis](http://arxiv.org/abs/1809.02840v2) | NIPS | [code](https://github.com/xuexue/neuralkanren) | 32 | 

| [Learning Dynamic Memory Networks for Object Tracking](http://openaccess.thecvf.com/content_ECCV_2018/html/Tianyu_Yang_Learning_Dynamic_Memory_ECCV_2018_paper.html) | ECCV | [code](https://github.com/skyoung/MemTrack) | 32 | 

| [GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints](http://openaccess.thecvf.com/content_ECCV_2018/html/Zixin_Luo_Learning_Local_Descriptors_ECCV_2018_paper.html) | ECCV | [code](https://github.com/lzx551402/geodesc) | 32 | 

| [A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks](nan) | NIPS | [code](https://github.com/pokaxpoka/deep_Mahalanobis_detector) | 32 | 

| [Flow-Grounded Spatial-Temporal Video Prediction from Still Images](http://openaccess.thecvf.com/content_ECCV_2018/html/Yijun_Li_Flow-Grounded_Spatial-Temporal_Video_ECCV_2018_paper.html) | ECCV | [code](https://github.com/Yijunmaverick/FlowGrounded-VideoPrediction) | 32 | 

| [Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection](http://openaccess.thecvf.com/content_ECCV_2018/html/Lei_Zhu_Bi-directional_Feature_Pyramid_ECCV_2018_paper.html) | ECCV | [code](https://github.com/zijundeng/BDRAR) | 32 | 

| [On the Robustness of Semantic Segmentation Models to Adversarial Attacks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Arnab_On_the_Robustness_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/hmph/adversarial-attacks) | 31 | 

| [Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cui_Large_Scale_Fine-Grained_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/richardaecn/cvpr18-inaturalist-transfer) | 31 | 

| [SketchyScene: Richly-Annotated Scene Sketches](http://openaccess.thecvf.com/content_ECCV_2018/html/Changqing_Zou_SketchyScene_Richly-Annotated_Scene_ECCV_2018_paper.html) | ECCV | [code](https://github.com/SketchyScene/SketchyScene) | 31 | 

| [Deep Randomized Ensembles for Metric Learning](http://openaccess.thecvf.com/content_ECCV_2018/html/Hong_Xuan_Randomized_Ensemble_Embeddings_ECCV_2018_paper.html) | ECCV | [code](https://github.com/littleredxh/DREML) | 30 | 

| [Deep High Dynamic Range Imaging with Large Foreground Motions](http://openaccess.thecvf.com/content_ECCV_2018/html/Shangzhe_Wu_Deep_High_Dynamic_ECCV_2018_paper.html) | ECCV | [code](https://github.com/elliottwu/DeepHDR) | 30 | 

| [Revisiting Video Saliency: A Large-Scale Benchmark and a New Model](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Revisiting_Video_Saliency_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/wenguanwang/DHF1K) | 30 | 

| [Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Blazingly_Fast_Video_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/yuhuayc/fast-vos) | 30 | 

| [Deep Model-Based 6D Pose Refinement in RGB](http://openaccess.thecvf.com/content_ECCV_2018/html/Fabian_Manhardt_Deep_Model-Based_6D_ECCV_2018_paper.html) | ECCV | [code](https://github.com/fabi92/eccv18-rgb_pose_refinement) | 30 | 

| [TOM-Net: Learning Transparent Object Matting From a Single Image](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_TOM-Net_Learning_Transparent_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/guanyingc/TOM-Net) | 30 | 

| [Quaternion Convolutional Neural Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Xuanyu_Zhu_Quaternion_Convolutional_Neural_ECCV_2018_paper.html) | ECCV | [code](https://github.com/TParcollet/Quaternion-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-Recognition) | 30 | 

| [Densely Connected Attention Propagation for Reading Comprehension](https://nips.cc/Conferences/2018/Schedule?showEvent=11481) | NIPS | [code](https://github.com/vanzytay/NIPS2018_DECAPROP) | 30 | 

| [A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising](http://openaccess.thecvf.com/content_ECCV_2018/html/XU_JUN_A_Trilateral_Weighted_ECCV_2018_paper.html) | ECCV | [code](https://github.com/csjunxu/TWSC-ECCV2018) | 30 | 

| [Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings](http://proceedings.mlr.press/v80/co-reyes18a.html) | ICML | [code](https://github.com/wyndwarrior/Sectar) | 29 | 

| [Video Rain Streak Removal by Multiscale Convolutional Sparse Coding](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Video_Rain_Streak_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/MinghanLi/MS-CSC-Rain-Streak-Removal) | 29 | 

| [Recurrent Scene Parsing With Perspective Understanding in the Loop](http://openaccess.thecvf.com/content_cvpr_2018/papers/Kong_Recurrent_Scene_Parsing_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/aimerykong/Recurrent-Scene-Parsing-with-Perspective-Understanding-in-the-loop) | 29 | 

| [Single Shot Scene Text Retrieval](http://openaccess.thecvf.com/content_ECCV_2018/html/Lluis_Gomez_Single_Shot_Scene_ECCV_2018_paper.html) | ECCV | [code](https://github.com/lluisgomez/single-shot-str) | 29 | 

| [Toward Characteristic-Preserving Image-based Virtual Try-On Network](http://openaccess.thecvf.com/content_ECCV_2018/html/Bochao_Wang_Toward_Characteristic-Preserving_Image-based_ECCV_2018_paper.html) | ECCV | [code](https://github.com/sergeywong/cp-vton) | 29 | 

| [Explainable Neural Computation via Stack Neural Module Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Ronghang_Hu_Explainable_Neural_Computation_ECCV_2018_paper.html) | ECCV | [code](https://github.com/ronghanghu/snmn) | 29 | 

| [Exploring Disentangled Feature Representation Beyond Face Identification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_Exploring_Disentangled_Feature_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/sciencefans/D2AE-Face-Generator) | 29 | 

| [Controllable Video Generation With Sparse Trajectories](http://openaccess.thecvf.com/content_cvpr_2018/papers/Hao_Controllable_Video_Generation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zekunhao1995/ControllableVideoGen) | 28 | 

| [Layer-structured 3D Scene Inference via View Synthesis](http://openaccess.thecvf.com/content_ECCV_2018/html/Shubham_Tulsiani_Layer-structured_3D_Scene_ECCV_2018_paper.html) | ECCV | [code](https://github.com/google/layered-scene-inference) | 28 | 

| [Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation](http://openaccess.thecvf.com/content_ECCV_2018/html/Liang-Chieh_Chen_Encoder-Decoder_with_Atrous_ECCV_2018_paper.html) | ECCV | [code](https://github.com/qixuxiang/deeplabv3plus) | 28 | 

| [PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Liu_PiCANet_Learning_Pixel-Wise_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Ugness/PiCANet-Implementation) | 28 | 

| [Learning Rich Features for Image Manipulation Detection](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Learning_Rich_Features_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/LarryJiang134/Image_manipulation_detection) | 27 | 

| [Fast Video Object Segmentation by Reference-Guided Mask Propagation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Oh_Fast_Video_Object_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/seoungwugoh/RGMP) | 27 | 

| [3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration](http://openaccess.thecvf.com/content_ECCV_2018/html/Zi_Jian_Yew_3DFeat-Net_Weakly_Supervised_ECCV_2018_paper.html) | ECCV | [code](https://github.com/yewzijian/3DFeatNet) | 27 | 

| [Who Let the Dogs Out? Modeling Dog Behavior From Visual Data](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ehsani_Who_Let_the_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ehsanik/dogTorch) | 27 | 

| [EC-Net: an Edge-aware Point set Consolidation Network](http://openaccess.thecvf.com/content_ECCV_2018/html/Lequan_Yu_EC-Net_an_Edge-aware_ECCV_2018_paper.html) | ECCV | [code](https://github.com/yulequan/EC-Net) | 27 | 

| [Interpretable Intuitive Physics Model](http://openaccess.thecvf.com/content_ECCV_2018/html/Tian_Ye_Interpretable_Intuitive_Physics_ECCV_2018_paper.html) | ECCV | [code](https://github.com/tianye95/interpretable-intuitive-physics-model) | 27 | 

| [Learning a Discriminative Feature Network for Semantic Segmentation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yu_Learning_a_Discriminative_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/lxtGH/dfn_seg) | 26 | 

| [Partial Transfer Learning With Selective Adversarial Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Partial_Transfer_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/thuml/SAN) | 26 | 

| [Cross-Modal Deep Variational Hand Pose Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Spurr_Cross-Modal_Deep_Variational_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/spurra/vae-hands-3d) | 26 | 

| [Between-Class Learning for Image Classification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tokozume_Between-Class_Learning_for_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/mil-tokyo/bc_learning_image) | 26 | 

| [AON: Towards Arbitrarily-Oriented Text Recognition](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cheng_AON_Towards_Arbitrarily-Oriented_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/huizhang0110/AON) | 26 | 

| [Conditional Image-to-Image Translation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Conditional_Image-to-Image_Translation_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/znxlwm/pytorch-Conditional-image-to-image-translation) | 25 | 

| [Learning Convolutional Networks for Content-Weighted Image Compression](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Convolutional_Networks_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/limuhit/ImageCompression) | 25 | 

| [Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Diversity_Regularized_Spatiotemporal_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/ShuangLI59/Diversity-Regularized-Spatiotemporal-Attention) | 25 | 

| [Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries](http://openaccess.thecvf.com/content_ECCV_2018/html/Edgar_Margffoy-Tuay_Dynamic_Multimodal_Instance_ECCV_2018_paper.html) | ECCV | [code](https://github.com/BCV-Uniandes/query-objseg) | 25 | 

| [CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Batsos_CBMV_A_Coalesced_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/kbatsos/CBMV) | 25 | 

| [Deep Texture Manifold for Ground Terrain Recognition](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xue_Deep_Texture_Manifold_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jiaxue1993/Deep-Encoding-Pooling-Network-DEP-) | 25 | 

| [Audio-Visual Event Localization in Unconstrained Videos](http://openaccess.thecvf.com/content_ECCV_2018/html/Yapeng_Tian_Audio-Visual_Event_Localization_ECCV_2018_paper.html) | ECCV | [code](https://github.com/YapengTian/AVE-ECCV18) | 25 | 

| [First Order Generative Adversarial Networks](http://proceedings.mlr.press/v80/seward18a.html) | ICML | [code](https://github.com/zalandoresearch/first_order_gan) | 25 | 

| [Visual Coreference Resolution in Visual Dialog using Neural Module Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Satwik_Kottur_Visual_Coreference_Resolution_ECCV_2018_paper.html) | ECCV | [code](https://github.com/facebookresearch/corefnmn) | 25 | 

| [SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Faraone_SYQ_Learning_Symmetric_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/julianfaraone/SYQ) | 24 | 

| [Deep Reinforcement Learning of Marked Temporal Point Processes](http://arxiv.org/abs/1805.09360v1) | NIPS | [code](https://github.com/Networks-Learning/tpprl) | 24 | 

| [Explicit Inductive Bias for Transfer Learning with Convolutional Networks](http://proceedings.mlr.press/v80/li18a.html) | ICML | [code](https://github.com/holyseven/TransferLearningClassification) | 24 | 

| [LEGO: Learning Edge With Geometry All at Once by Watching Videos](http://openaccess.thecvf.com/content_cvpr_2018/papers/Yang_LEGO_Learning_Edge_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zhenheny/LEGO) | 24 | 

| [Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes](http://openaccess.thecvf.com/content_ECCV_2018/html/Fangneng_Zhan_Verisimilar_Image_Synthesis_ECCV_2018_paper.html) | ECCV | [code](https://github.com/fnzhan/Verisimilar-Image-Synthesis-for-Accurate-Detection-and-Recognition-of-Texts-in-Scenes) | 24 | 

| [Multi-Agent Diverse Generative Adversarial Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Ghosh_Multi-Agent_Diverse_Generative_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/arnabgho/MADGAN) | 23 | 

| [Face Aging With Identity-Preserved Conditional Generative Adversarial Networks](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Face_Aging_With_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/dawei6875797/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks) | 23 | 

| [Learning to Separate Object Sounds by Watching Unlabeled Video](http://openaccess.thecvf.com/content_ECCV_2018/html/Ruohan_Gao_Learning_to_Separate_ECCV_2018_paper.html) | ECCV | [code](https://github.com/rhgao/separating-object-sounds) | 23 | 

| [Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search](http://proceedings.mlr.press/v80/suganuma18a.html) | ICML | [code](https://github.com/sg-nm/Evolutionary-Autoencoders) | 23 | 

| [To Trust Or Not To Trust A Classifier](http://arxiv.org/abs/1805.11783v1) | NIPS | [code](https://github.com/google/TrustScore) | 23 | 

| [Im2Flow: Motion Hallucination From Static Images for Action Recognition](http://openaccess.thecvf.com/content_cvpr_2018/papers/Gao_Im2Flow_Motion_Hallucination_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/rhgao/Im2Flow) | 22 | 

| [ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_ISTA-Net_Interpretable_Optimization-Inspired_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/jianzhangcs/ISTA-Net) | 22 | 

| [Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Hallucinated-IQA_No-Reference_Image_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/kwanyeelin/HIQA) | 22 | 

| [Anonymous Walk Embeddings](http://proceedings.mlr.press/v80/ivanov18a.html) | ICML | [code](https://github.com/nd7141/AWE) | 22 | 

| [Learning to Multitask](http://arxiv.org/abs/1805.07541v1) | NIPS | [code](https://github.com/jfutoma/MGP-RNN) | 22 | 

| [CondenseNet: An Efficient DenseNet Using Learned Group Convolutions](http://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_CondenseNet_An_Efficient_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/markdtw/condensenet-tensorflow) | 22 | 

| [HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN](http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_HashGAN_Deep_Learning_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/thuml/HashGAN) | 22 | 

| [Hierarchical Relational Networks for Group Activity Recognition and Retrieval](http://openaccess.thecvf.com/content_ECCV_2018/html/Mostafa_Ibrahim_Hierarchical_Relational_Networks_ECCV_2018_paper.html) | ECCV | [code](https://github.com/mostafa-saad/hierarchical-relational-network) | 22 | 

| [Collaborative and Adversarial Network for Unsupervised Domain Adaptation](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Collaborative_and_Adversarial_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/mahfuj9346449/iCAN) | 22 | 

| [Geometry-Aware Scene Text Detection With Instance Transformation Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Geometry-Aware_Scene_Text_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zlmzju/itn) | 22 | 

| [Learning to Promote Saliency Detectors](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zeng_Learning_to_Promote_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/zengxianyu/lps) | 21 | 

| [CSGNet: Neural Shape Parser for Constructive Solid Geometry](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sharma_CSGNet_Neural_Shape_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/Hippogriff/CSGNet) | 21 | 

| [Local Spectral Graph Convolution for Point Set Feature Learning](http://openaccess.thecvf.com/content_ECCV_2018/html/Chu_Wang_Local_Spectral_Graph_ECCV_2018_paper.html) | ECCV | [code](https://github.com/fate3439/LocalSpecGCN) | 21 | 

| [HiDDeN: Hiding Data with Deep Networks](http://openaccess.thecvf.com/content_ECCV_2018/html/Jiren_Zhu_HiDDeN_Hiding_Data_ECCV_2018_paper.html) | ECCV | [code](https://github.com/jirenz/HiDDeN) | 21 | 

| [GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning](http://openaccess.thecvf.com/content_cvpr_2018/papers/Duan_GraphBit_Bitwise_Interaction_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/duanyq14/GraphBit) | 20 | 

| [Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Stacked_Conditional_Generative_CVPR_2018_paper.pdf) | CVPR | [code](https://github.com/DeepInsight-PCALab/ST-CGAN) | 20 | 

| [Fully-Convolutional Point Networks for Large-Scale Point Clouds](http://openaccess.thecvf.com/content_ECCV_2018/html/Dario_Rethage_Fully-Convolutional_Point_Networks_ECCV_2018_paper.html) | ECCV |
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