
1
presentations
23
number of views
1
citations
SHORT BIO
Changsheng Lu is currently a Ph.D. student with the College of Engineering, Computing, and Cybernetics at The Australian National University. He received the M.S. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020, and received the B.S. degree in Automation from Southeast University, Nanjing, China, in 2017. He has wide research interests mainly including computer vision, few-shot learning, transfer learning, multi-modal learning, and robotics. Particularly, he is interested in the theories and algorithms that empower robot to see, think and conduct more like a human. Previously, he was awarded the national scholarship and the outstanding graduate student of SEU and SJTU. He has served as the reviewers for leading journals including TPAMI, IJCV, IEEE T-IP, IEEE Computational Intelligence Magazine, PR, IEEE RA-L, etc., and leading conferences including CVPR, ICCV, ECCV, AAAI, ICLR, ICML, NeurIPS, etc.
Presentations

Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
Changsheng Lu and 1 other author