Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation
Yangzheng Wu and Michael Greenspan. Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation, ECCV 2024.
CV
Education
- Ph.D in ECE, Queen’s University at Kingston, ON, Canada, -
- MASc in ECE, Queen’s University at Kingston, ON, Canada, 2022
- Meng in ECE, Queen’s University at Kingston, ON, Canada, 2019
- Summer School, Imperial College London, UK, 2014
- Bachelor, Nanjing Forestry University, Nanjing, China, 2017
Work experience
- Summer 2015: Statistics Analysis Intern
- L’oreal China Research & Innovation Center, Shanghai, China
- Summer 2017: Mechnic Engineer Intern
- Jabil, China
- 2019-2020: AR Software Developer
- Kingston, ON Canada
Skills
- Machine Learning
- Python
- Pytorch
- NVCC kernels
- C++
Publications
Paper Title Number 4
Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Learning Better Keypoints for Multi-Object 6DoF Pose Estimation
Yangzheng Wu and Michael Greenspan. Learning Better Keypoints for Multi-Object 6DoF Pose Estimation, WACV 2024.
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
Yangzheng Wu, Mohsen Zand, Ali Etemad, and Michael Greenspan. Vote from the center: 6 dof pose estimation in rgb-d images by radial keypoint voting, ECCV 2022.
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation
Yangzheng Wu, Alireza Javaheri, Mohsen Zand and Michael Greenspan. Cascade Keypoint Voting for Point Cloud Based 6DoF Pose Estimation, 3DV 2022.
Talks
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
Talk at Expo Tel Aviv, Oral Session 1 of ECCV, Tel Aviv, Isreal
TAs
Service and leadership
- Reviewer of AAAI, ECCV, CVPR, and ICCV