activity
20192026
most citedW-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression

16 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving

Jinqing Zhang, Zehua Fu, Zelin Xu +3

The comprehensive understanding capabilities of world models for driving scenarios have significantly improved the planning accuracy of end-to-end autonomous driving frameworks. Ho…

cs.CV2023★ 4 cited

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose

Yichen Zhang, Jiehong Lin, Ke Chen +3

Domain gap between synthetic and real data in visual regression (e.g. 6D pose estimation) is bridged in this paper via global feature alignment and local refinement on the coarse c…

cs.CV2022

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation

Zelin Xu, Yichen Zhang, Ke Chen +1

The challenges of learning a robust 6D pose function lie in 1) severe occlusion and 2) systematic noises in depth images. Inspired by the success of point-pair features, the goal o…

cs.CV2020★ 1 cited

Classification of Single-View Object Point Clouds

Zelin Xu, Ke Chen, Kangjun Liu +3

Object point cloud classification has drawn great research attention since the release of benchmarking datasets, such as the ModelNet and the ShapeNet. These benchmarks assume poin…

cs.CV2019★ 16 cited

W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression

Zelin Xu, Ke Chen, Kui Jia

Solving 6D pose estimation is non-trivial to cope with intrinsic appearance and shape variation and severe inter-object occlusion, and is made more challenging in light of extrinsi…