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

[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

Nature Machine Intelligence

[paper] [Read-Only Link] [Arxiv] [code]


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]


Pre-Print