Toward Real-World Category-Level Articulation Pose Estimation

Author:

Liu LiuORCID,Xue HanORCID,Xu WenqiangORCID,Fu HaoyuanORCID,Lu CewuORCID

Funder

National Key Research and Development Program of China

Shanghai Municipal Science and Technology Major Project

National Natural Science Foundation of China

Shanghai Qi Zhi Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference33 articles.

1. Feature Pyramid Networks for Object Detection

2. Deep Residual Learning for Image Recognition

3. Least-squares estimation of transformation parameters between two point patterns

4. PointNet++ deep hierarchical feature learning on point sets in a metric space;qi;Proc 31st Int Conf Neural Inf Process Syst,2017

5. Learning 6D object pose estimation using 3D object coordinates;brachmann;Proc Eur Conf Comput Vis,2014

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1. Multi-level feature fusion and joint refinement for simultaneous object pose estimation and camera localization;Neural Networks;2024-06

2. CAPT: Category-level Articulation Estimation from a Single Point Cloud Using Transformer;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. GHOJA: Human-in-the-Loop Joint Pose Optimization based on Geometric Constraint and Human Common-sense;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation;2024 International Conference on 3D Vision (3DV);2024-03-18

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