Scholar
Jiehong Lin
Google Scholar ID: eSkDBYcAAAAJ
South China University of Technology
Citations & Impact
Citations
743
H-index
10
i10-index
10
Publications
14
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation (CVPR 2024); VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations (ICCV 2023); Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose (IJCAI 2023); Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks (ECCV 2022); DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation (ECCV 2022); Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space (NeurIPS 2021).
Research Experience
- July 2024 - Present, Postdoctoral Fellow at The University of Hong Kong, Hong Kong, China, Advisor: Prof. Xiaojuan Qi, Department of Electrical and Electronic Engineering (EEE); February 2024 - June 2024, Research Assistant at The Chinese University of Hong Kong, Shenzhen, China, School of Data Science (SDS); March 2022 - January 2024, Algorithm Intern at DexForce Technology Co. Ltd, Shenzhen, China, Research and Development Department; September 2019 - January 2020, Research Assistant at University of Macau, Macau, China, State Key Laboratory of Internet of Things for Smart City.
Education
- June 2023, Ph.D. in Electronic and Information Engineering from South China University of Technology, Advisor: Prof. Kui Jia; September 2017 - June 2023, Bachelor of Engineering in Electronic and Information Engineering from South China University of Technology.
Background
- Research Field: Computer Vision | 3D Semantic Analysis | Robotics Learning. Email: mortimer.jh.lin@gmail.com; lin.jiehong @ mail.scut.edu.cn. Other Link: [Google Scholar] [Github]
Co-authors