CV

Education

• Ph.D in CAMP, TUM, Munich, 2020 — 2024.02 (expected)
• M.S. in Deparment of Automation, Tsinghua University, 2017 — 2020
• B.S. in Deparment of Automation, Tsinghua University, 2013 — 2017

Work Experiences

• Student Research Intern, Google Munich, 08.2023–Now
• Intern, SUMSUNG Beijing, 06.2016–09.2016

Skills

• Deep Learning related skills, coding, etc
• SLAM

Publications

GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-wise Voting

SO-Pose: Exploiting Self-Occlusion for Direct 6d Pose Estimation

Monocular piecewise depth estimation in dynamic scenes by exploiting superpixel relations

RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation

SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation

A unified framework for piecewise semantic reconstruction in dynamic scenes via exploiting superpixel relations

MonoGraspNet: 6-DoF Grasping with a Single RGB Image

OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection

Service and Awards

• Reviewers for CVPR, ICCV, ECCV, IROS, ICRA, RAL
• The overall best segmentation award in ECCV2022 BOP Challenge, ZebraPoseSAT.