Jiehong Lin

6

Papers

0

Total Citations

Papers (6)

SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

DualPoseNet: Category-Level 6D Object Pose and Size Estimation Using Dual Pose Network With Refined Learning of Pose Consistency

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations

Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space

NeurIPS 2021arXiv