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Cewu Lu

SQZ PI(July 2020 - June 2023
SJTU Professor

Biography

Former Shanghai Qi Zhi Institute PI.

Selected as a high-level young talent introduced from overseas in 2016, he was named one of the "35 Innovators Under 35" in China by MIT Technology Review in 2018, won the "Qiu Shi Outstanding Young Scholar Award" in 2019, and received the first-class prize for scientific and technological progress in Shanghai in 2020 (ranking third). He has published (including accepted) more than 100 papers as the corresponding or first author in high-level journals and conferences such as Nature, Nature Machine Intelligence, TPAMI, and CVPR, and has served as a reviewer for Science and Nature Machine Intelligence. He has also served as the program chair for CVM 2018, and area chair for CVPR 2020, ICCV 2021, and IROS 2021. He mainly engages in research in computer vision and robotics, has achieved a number of breakthrough research results, and has open-sourced international advanced level artificial intelligence frameworks and datasets such as Alphapose (a human pose estimation system with more than 5000 GitHub stars), HAKE (Human Activity Engine), and GraspNet (a high-performance robotic grasping system).

Research Direction

Computer Vision

Robot

Paper/Publication

1.  Xinyu Xu,Yonglu Li,Cewu Lu,Learn to Anticipate Future with Dynamic Context Removal,2022 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2022


2.  Xinpeng Liu, Yong-Lu Li, Xiaoqian Wu, Yu-Wing Tai, Cewu Lu, Chi-Keung Tang,Interactiveness Field of Human-Object Interactions, 2022 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2022


3.  Lixin Yang, Kailin Li, Xinyu Zhan; Fei Wu ; Anran Xu; Liu Liu; Cewu Lu,OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction,2022 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2022


4.  Lixin Yang, Kailin Li, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu,ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis, 2022 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2022


5.  haoyu Xiong, Haoyuan Fu, Jieyi Zhang, Qiang Zhang, Chen Bao, Yongxi Huang, Wenqiang Xu, Animesh Garg, Huazhe Xu, Cewu Lu, RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments, 6th Annual Conference on Robot Learning, 2022


6.  Ruoxi Shi, Zhengrong Xue, Yang You, Cewu Lu, Skeleton Merger: an Unsupervised Aligned Keypoint Detector,2021 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2021


7.  Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, Cewu Lu, HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation, 2021 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2021


8.  Minghao Gou, Hao-Shu Fang, Zhanda Zhu, Sheng Xu, Chenxi Wang and Cewu Lu, RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images,2021 International Conference on Robotics and Automation (ICRA), 2021


9.  Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Xijie Huang, Liang Xu, Cewu Lu,Transferable Interactiveness Knowledge for Human-Object Interaction Detection, 2021 IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2021


10.  Bo Pang, Gao Peng, Yizhuo Li, Cewu Lu,PGT: A Progressive Method for Training Models on Long Videos,2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2021


11.  Hao-Shu Fang, Yichen Xie, Dian Shao, Cewu Lu,DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection,2021 35th AAAI Conference on Artificial Intelligence(AAAI),2021


12.  Hao-Shu Fang, Yichen Xie, Dian Shao, Yong-Lu Li, Cewu Lu,DecAug: Augmenting HOI Detection via Decomposition, 2021 35th AAAI Conference on Artificial Intelligence(AAAI),2021


13. Bo Pang , Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu, TDAF: Top-Down Attention Framework for Vision Tasks, 2021 35th AAAI Conference on Artificial Intelligence(AAAI),2021


14.  Gao Peng, Bo Pang, Cewu Lu, Efficient 3D Video Engine Using Frame Redundancy,  2021 IEEE Winter Conference on Applications of Computer Vision(WACV), 2021


15.  Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Yizhuo Li,  Cewu Lu,HOI Analysis: Integrating and Decomposing Human-Object Interaction,2020 34th Conference on Neural Information Processing Systems (NeurIPS),2020


16.  Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, and Cewu Lu,Asynchronous Interaction Aggregation for Action Detection,2020 European Conference on Computer Vision(ECCV), 2020


17.  Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, and Cewu Lu, HMOR: Hierarchical Multi-person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation,2020 European Conference on Computer Vision(ECCV), 2020


18. Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li,Lizhuang Ma, Weiming Wang, and Cewu Lu,Human Correspondence Consensus for 3D Object Semantic Understanding,2020 European Conference on Computer Vision(ECCV), 2020


19. Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu,Transferable Active Grasping and Real Embodied Dataset,2020 International Conference on Robotics and Automation (ICRA), 2020


20.  Bo Pang, Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu & Cewu Lu, Complex sequential understanding through the awareness of spatial and temporal concepts, Nature Machine Intelligence,2020


21.  Hao-Shu Fang, Chenxi Wang, Minghao Gou,Cewu Lu,GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping, 2020 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2020


22.  Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu, TubeTK: Adopting Tubes to Track Multi-Object in a Unified One-Step Model, 2020 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2020


23.  Jianhua Sun, Qinhong Jiang, Cewu Lu, Recursive Social Behavior Graph for Trajectory Prediction, 2020 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2020


24.  Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu,Shiyi Wang, Hao-Shu Fang, Ze Ma, Mingyang Chen, Cewu Lu,PaStaNet: Toward Human Activity Knowledge Engine, 2020 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2020


25.  Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu,Detailed 2D-3D Joint Representation for Human-Object Interaction, 2020 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2020


26.  Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu,Symmetry and Group in Attribute-Object Compositions, 2020 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2020


27.  Zhengtian Xu, Shu Liu, Jianping Shi, Cewu Lu,Outdoor RGBD Instance Segmentation with Residual Regretting Learning,2020 IEEE Transactions on Image Processing(TIP), 2020