https://github.com/cuge1995/iros-2020-point-cloud-analysis

IROS 2020 papers/code focusing on point cloud analysis
https://github.com/cuge1995/iros-2020-point-cloud-analysis

deep-learning iros-2020 point-cloud

Last synced: about 2 months ago
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IROS 2020 papers/code focusing on point cloud analysis

• Host: GitHub
• URL: https://github.com/cuge1995/iros-2020-point-cloud-analysis
• Owner: cuge1995
• Created: 2020-11-13T10:43:14.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2020-11-26T03:39:21.000Z (over 4 years ago)
• Last Synced: 2025-01-12T22:33:00.363Z (4 months ago)
• Topics: deep-learning, iros-2020, point-cloud
• Homepage:
• Size: 23.4 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# IROS-2020-point-cloud-analysis

IROS 2020 papers focusing on point cloud analysis

- [PC-NBV: A Point Cloud Based Deep Network for Efficient Next Best View Planning.](https://ras.papercept.net/proceedings/IROS20/0505.pdf)   

  - [[Code](https://github.com/Smile2020/PC-NBV)]

- [Acquiring Mechanical Knowledge from 3D Point Clouds.](https://ras.papercept.net/proceedings/IROS20/0383.pdf)   

- [Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation.](https://ras.papercept.net/proceedings/IROS20/0808.pdf)   

  - [[Code](https://github.com/MMCheng/PointNL)]

- [Voxel-Based Representation Learning for Place Recognition Based on 3D Point Clouds.](https://ras.papercept.net/proceedings/IROS20/0686.pdf)  

- [Point Cloud Completion by Learning Shape Priors.](https://ras.papercept.net/proceedings/IROS20/0979.pdf)   

  - [[Code](https://github.com/xiaogangw/point-cloud-completion-shape-prior)]

- [Remove, then Revert: Static Point cloud Map Construction using Multiresolution Range Images.](https://ras.papercept.net/proceedings/IROS20/0855.pdf)  

  - [[Code](https://github.com/irapkaist/removert)]

- [Learning Continuous Object Representations from Point Cloud Data.](https://ras.papercept.net/proceedings/IROS20/1045.pdf)   

  - [[Code](https://github.com/hennels/Corn50)]

- [Kinematic Multibody Model Generation of Deformable Linear Objects from Point Clouds.](https://ras.papercept.net/proceedings/IROS20/1071.pdf)  

- [Real-Time Spatio-Temporal LiDAR Point Cloud Compression.](https://ras.papercept.net/proceedings/IROS20/1091.pdf)   

  - [[Code](https://github.com/horizon-research/Real-Time-Spatio-Temporal-LiDAR-Point-Cloud-Compression)]

- [GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous Vehicles.](https://ras.papercept.net/proceedings/IROS20/1086.pdf)  

  - [[Code](https://github.com/anshulpaigwar/GndNet)]

- [End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences.](https://ras.papercept.net/proceedings/IROS20/1105.pdf)  

- [Real-time detection of broccoli crops in 3D point clouds for autonomous robotic harvesting.](https://ras.papercept.net/proceedings/IROS20/1159.pdf)  

- [Factor Graph based 3D Multi-Object Tracking in Point Clouds.](https://ras.papercept.net/proceedings/IROS20/1508.pdf)  

- [Physical Human-Robot Interaction with Real Active Surfaces using Haptic Rendering on Point Clouds.](https://ras.papercept.net/proceedings/IROS20/1478.pdf)

- [Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation.](https://ras.papercept.net/proceedings/IROS20/1184.pdf)  

- [Seed: A Segmentation-Based Egocentric 3D Point Cloud Descriptor for Loop Closure Detection.](https://ras.papercept.net/proceedings/IROS20/1716.pdf)  

  - [[Code](https://github.com/irapkaist/scancontext)]

- [GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image

.](https://ras.papercept.net/proceedings/IROS20/1580.pdf)  

- [A Point Cloud Registration Pipeline using Gaussian Process Regression for Bathymetric SLAM.](https://ras.papercept.net/proceedings/IROS20/2494.pdf)

- [PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation.](https://ras.papercept.net/proceedings/IROS20/2256.pdf)  

- [A Novel Coding Architecture for LiDAR Point Cloud Sequence.](https://ras.papercept.net/proceedings/IROS20/2753.pdf)

- [Point Cloud Projective Analysis for Part-based Grasp Planning.](https://ras.papercept.net/proceedings/IROS20/2618.pdf)  

- [3D Instance Embedding Learning with a Structure-Aware Loss Function for Point Cloud Segmentation.](https://ras.papercept.net/proceedings/IROS20/2782.pdf)   

- [3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation.](https://ras.papercept.net/proceedings/IROS20/2796.pdf)   

  - [[Code](https://github.com/Shathe/3D-MiniNet)]

- [Robust RL-Based Map-less Local Planning: Using 2D Point Clouds as Observations.](https://ras.papercept.net/proceedings/IROS20/2921.pdf)   

- [ECG: Edge-aware Point Cloud Completion with Graph Convolution.](https://ras.papercept.net/proceedings/IROS20/2954.pdf)   

  - [[Code](https://github.com/paul007pl/ECG)]

- [SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving.](https://ras.papercept.net/proceedings/IROS20/3154.pdf) 

  - [[Code](https://github.com/Halmstad-University/SalsaNext)]