Jun Lv

I am a Ph.D. student 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 Shanghai Jiao Tong University in 2020. My research interests include Robotics, Artificial Intelligence and Computer Vision.

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Publications
TieBot: Model-based Learning to Knot a Tie from Visual Demonstration via Differentiable Physics-based Simulation
Weikun Peng, Jun Lv, Haonan Chen, Siheng Zhao, Jichen Sun, Cewu Lu, Lin Shao
Under Review
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering
Xinghao Zhu, Jinghan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao
Conference on Robot Learning (CoRL) 2023
🔊Oral Presentation

Paper / Project / Bibtex
ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
Bingyang Zhou, Haoyu Zhou, Tianhai Liang, Qiaojun Yu, Siheng Zhao, Yuwei Zeng, Jun Lv, Siyuan Luo, Qiancai Wang, Xinyuan Yu, Haonan Chen, Cewu Lu, Lin Shao
IEEE/CVF International Conference on Computer Vision (ICCV) 2023

ArXiv / Project / Bibtex

SAM-RL: Sensing-Aware Model-based Reinforcement Learning via Differentiable Physics-based Simulation and Rendering
Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, Lin Shao*, Cewu Lu* (*Equal advising)
Robotics: Science and Systems (RSS) 2023
🔥Best System Paper Award Finalist

Paper / ArXiv / Project / Video / Poster / Bibtex
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
Lixin Yang*, Kailin Li*, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu (*Equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
🔊Oral Presentation

Paper / ArXiv / Code / Video / Bibtex
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 / ArXiv / Project / Video / Poster / Bibtex
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 / ArXiv / Code / Project / Video / Bibtex

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 / ArXiv / Code / Project / Video / Bibtex
Professional Services
  • Conference Reviewer:
    • IEEE International Conference on Robotics and Automation (ICRA)
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    • IEEE/CVF International Conference on Computer Vision (ICCV)
  • Journal Reviewer:
    • IEEE Robotics and Automation Letters (RA-L)
Invited Talks
  • May. 2022: SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning. 智东西 / Video
  • Mar. 2022: SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning. Workshop on Interactive Perception and Manipulation. AdaComp (National University of Singapore)

 

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