Jiaxin Wei

I am a second-year PhD student in the Smart Robotics Lab at the Technical University of Munich, supervised by Prof. Stefan Leutenegger. My research focuses on 3D vision, mapping, and object-level perception. I am also passionate about bridging the gap between the physical and virtual worlds. I earned my Master's degree from ShanghaiTech University, where I worked in the Mobile Perception Lab under the supervision of Prof. Laurent Kneip.

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Research

GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion
Jiaxin Wei, Stefan Leutenegger
RA-L, 2024
project page / paper / code / video

A real-time mapping system that simultaneously generates a TSDF grid and a photo-realistic 3D map for various downstream tasks.

AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic Scaling
Jiaxin Wei, Stefan Leutenegger, Laurent Kneip
ECCV Workshop, 2024
paper / code

A novel extension of the classical PnP algorithm that estimates object pose without requiring exact 3D coordinates by handling unknown anisotropic scaling.

RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery
Jiaxin Wei, Xibin Song, Weizhe Liu, Laurent Kneip, Hongdong Li, and Pan Ji
ICRA, 2024
paper / code / video

A decoupled pipeline for RGB-only object pose estimation that separately estimates metric size and 6D pose, achieving superior rotation accuracy.

Spotlights: Probing Shapes from Spherical Viewpoints
Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip
ACCV, 2022
paper

A novel sampling model inspired by spherical multi-view scanners that enables compact and efficient point cloud representation for 3D shape completion.

Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database
Jiaxin Wei, Lan Hu, Chenyu Wang, Laurent Kneip
IROS, 2022
paper / video

A fine-grained CAD model retrieval in large-scale databases by combining learned shape descriptors with geometry-based re-ranking.


Source code from Jon Barron's website.