Jun Lv

I am a Ph.D. student in the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU). Currently, I am a member of Machine Vision and Intelligence Group (MVIG) under the supervision of Prof. Cewu Lu. I also worked closely with Prof. Lin Shao on my projects. I received my Bachelor's degree from the School of Cyber Science and Engineering, Shanghai Jiao Tong University in 2020. My research interests include Robotics, Artificial Intelligence and Computer Vision.

Email  /  Github  /  Google Scholar

Publications
SAM-RL: Sensing-Aware Model-based Reinforcement Learning via Differential Physics-based Simulation and Rendering
Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, Lin Shao*, Cewu Lu* (*Equal advising)
Under Review

[website]

SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning
Jun Lv*, Qiaojun Yu*, Lin Shao*, Wenhai Liu, Wenqiang Xu, Cewu Lu (*Equal contribution)
IEEE International Conference on Robotics and Automation (ICRA) 2022

[paper] [website] [video]
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
Kailin Li*, Lixin Yang*, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu (*Equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Oral)

[paper] [code] [video]
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
Jun Lv, Wenqiang Xu, Lixin Yang, Sucheng Qian, Chongzhao Mao, Cewu Lu
British Machine Vision Conference (BMVC) 2021

[paper] [code] [website] [video]
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
Chen Wang, Roberto Martin-Martin, Danfei Xu, Jun Lv, Cewu Lu , Li Fei-Fei, Silvio Savarese, Yuke Zhu
IEEE International Conference on Robotics and Automation (ICRA) 2020

[paper] [code] [website] [video]
Invited Talks

 

Template source