I received my Ph.D degree in the Department of Computer Science at Shanghai Jiao Tong University in 2024. I was a member of MVIGLab mentored by Pro. Cewu Lu . Prior to that, I received my Bachelor degree of Computer Science in 2018 from Shanghai Jiao Tong University.
My research interests are in machine learning, especially in video understanding and unsupervised learning.
News 【2024】Two papers published on PAMI. 【2023.1】Won the “2022 Baidu Scholarship”. 【2021.3】Paper “PGT: A Progressive Method for Training Models on Long Videos” is accepted as an oral paper in CVPR-2021. 【2020.6.30】Paper “Complex sequential understanding through the awareness of spatial and temporal concepts” won the World Artifical Intelligence Conference Youth Outstanding Paper Award. 【2020.5.6】TubeTK, a one-stage system for multi-object tracking is open-sourced here . 【2020.4.29】An article paper is published in Nature Machine Intelligence . The paper is here . And a read-only link is provided. Publications Auto-Pairing Positives through Implicit Relation Circulation for Discriminative Self-Learning
Bo Pang , Zhenyu Wei, Jingli Lin, Cewu Lu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
[paper ]
Markov Progressive Framework, a Universal Paradigm for Modeling Long Videos
Bo Pang , Gao Peng, Yizhuo Li, Cewu Lu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
[paper ]
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
Bo Pang , Hongchi Xia, Cewu Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[paper ] [code ]
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
Bo Pang , Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu
European Conference on Computer Vision (ECCV), 2022
[paper ] [code ]
Semantic Segmentation by Early Region Proxy
Yifan Zhang, Bo Pang , Cewu Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[paper ] [code ]
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning
Bo Pang , Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu
AAAI Conference on Artificial Intelligence (AAAI), 2022
[paper ]
Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang , Wentao Liu, Cewu Lu
IEEE International Conference on Computer Vision (ICCV), 2021 (oral
[paper ] [code ]
PGT: A Progressive Method for Training Models on Long Videos
Bo Pang , Gao Peng, Yizhuo Li, Cewu Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (oral
[paper ] [code ]
TDAF: Top-Down Attention Framework for Vision Tasks
Bo Pang , Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu
AAAI Conference on Artificial Intelligence (AAAI), 2021
[paper ]
Complex sequential understanding through the awareness of spatial and temporal concepts
Bo Pang , Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu, Cewu Lu
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
Bo Pang , Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (oral
[paper ] [code ]
Further Understanding Videos through Adverbs: A New Video Task
Bo Pang , Kaiwen Zha, Yifan Zhang, Cewu Lu
AAAI Conference on Artificial Intelligence (AAAI), 2020
[paper ]
Deep RNN Framework for Visual Sequential Applications
Bo Pang , Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[paper ] [Code ]
Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model
Bo Pang , Kaiwen Zha, Cewu Lu
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
[paper ]
Asynchronous Interaction Aggregation for Action Detection
Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang , Cewu Lu
European Conference on Computer Vision (ECCV), 2020
[paper ] [code ]
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation
Hanwen Cao, Yongyi Lu, Bo Pang , Cewu Lu, Alan Yuille, Gongshen Liu
British Machine Vision Conference 2020 (BMVC), 2020
[paper ]
Efficient 3D Video Engine Using Frame Redundancy
Gao Peng, Bo Pang , Cewu Lu
Winter Conference on Applications of Computer Vision 2021 (WACV), 2021
[paper ]
Projects TubeTK: A one-stage MOT system
Bo Pang , Yizhuo Li, yifan Zhang, Muchen Li, Cewu Lu
AlphaVideo: Video models from MVIG
Bo Pang , Jiajun Tang, Cewu Lu
