I am a Ph.D student of computer science , Shanghai Jiao Tong University . I am a member of MVIGLab mentored by Pro. Cewu Lu . My research interests are in computer vision, especially in video understanding and unsupervised learning.
News 【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 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
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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
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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
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Semantic Segmentation by Early Region Proxy
Yifan Zhang, Bo Pang , Cewu Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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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
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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
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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
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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
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Further Understanding Videos through Adverbs: A New Video Task
Bo Pang , Kaiwen Zha, Yifan Zhang, Cewu Lu
AAAI Conference on Artificial Intelligence (AAAI), 2020
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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
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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
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Asynchronous Interaction Aggregation for Action Detection
Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang , Cewu Lu
European Conference on Computer Vision (ECCV), 2020
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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
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Efficient 3D Video Engine Using Frame Redundancy
Gao Peng, Bo Pang , Cewu Lu
Winter Conference on Applications of Computer Vision 2021 (WACV), 2021
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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
