A Hierarchical Clustering Based Non-Maximum Suppression Method in Pedestrian Detection. - Bing Shuai; Yun Cheng; Shaozi Li; Songzhi Su (IScIDE, 2011)

Research on Preprocessing Technique of Alert Aggregation. - Chengpo Mu; Bing Shuai (CSO, 2012)

Decomposed human localization in personal photo albums. - Bing Shuai; Songzhi Su; Shaozi Li; Yun Cheng; Rongrong Ji (VCIP, 2013)

Learning Discriminative and Shareable Features for Scene Classification. - Zhen Zuo; Gang Wang 012; Bing Shuai; Lifan Zhao; Qingxiong Yang; Xudong Jiang 001 (ECCV (1), 2014)

Integrating parametric and non-parametric models for scene labeling. - Bing Shuai; Gang Wang 012; Zhen Zuo; Bing Wang 003; Lifan Zhao (CVPR, 2015)

Convolutional recurrent neural networks: Learning spatial dependencies for image representation. - Zhen Zuo; Bing Shuai; Gang Wang 012; Xiao Liu; Xingxing Wang; Bing Wang 003; Yushi Chen (CVPR Workshops, 2015)

Learning semantic visual dictionaries: A new method for local feature encoding. - Bing Shuai; Zhen Zuo; Gang Wang 012 (DSP, 2015)

Recent Advances in Convolutional Neural Networks. - Jiuxiang Gu; Zhenhua Wang 002; Jason Kuen; Lianyang Ma; Amir Shahroudy; Bing Shuai; Ting Liu 009; Xingxing Wang; Gang Wang 012 (CoRR, 2015)

Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks. - Zhen Zuo; Bing Shuai; Gang Wang 012; Xiao Liu; Xingxing Wang; Bing Wang 003 (CoRR, 2015)

Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification. - Zhen Zuo; Gang Wang 012; Bing Shuai; Lifan Zhao; Qingxiong Yang (Pattern Recognit., 2015)

Quaddirectional 2D-Recurrent Neural Networks For Image Labeling. - Bing Shuai; Zhen Zuo; Gang Wang 012 (IEEE Signal Process. Lett., 2015)

DAG-Recurrent Neural Networks for Scene Labeling. - Bing Shuai; Zhen Zuo; Bing Wang 003; Gang Wang 012 (CVPR, 2016)

Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association. - Bing Wang 003; Li Wang 057; Bing Shuai; Zhen Zuo; Ting Liu 009; Kap Luk Chan; Gang Wang 012 (CVPR Workshops, 2016)

A Siamese Long Short-Term Memory Architecture for Human Re-identification. - Rahul Rama Varior; Bing Shuai; Jiwen Lu; Dong Xu 001; Gang Wang 012 (ECCV (7), 2016)

Improving Fully Convolution Network for Semantic Segmentation. - Bing Shuai; Ting Liu 009; Gang Wang 012 (CoRR, 2016)

Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Based on Large-Scale Datasets. - Bing Wang 003; Kap Luk Chan; Li Wang 057; Bing Shuai; Zhen Zuo; Ting Liu 009; Gang Wang 012 (CoRR, 2016)

Decomposed human localization from social photo album. - Shaozi Li; Miaohui Zhang; Songzhi Su; Bing Shuai; Rongrong Ji (Multim. Syst., 2016)

Scene Parsing With Integration of Parametric and Non-Parametric Models. - Bing Shuai; Zhen Zuo; Gang Wang 012; Bing Wang 003 (IEEE Trans. Image Process., 2016)

Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks. - Zhen Zuo; Bing Shuai; Gang Wang 012; Xiao Liu; Xingxing Wang; Bing Wang 003; Yushi Chen (IEEE Trans. Image Process., 2016)

Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling. - Abrar H. Abdulnabi; Bing Shuai; Stefan Winkler; Gang Wang 012 (CVPR, 2017)

Deep Level Sets for Salient Object Detection. - Ping Hu 001; Bing Shuai; Jun Liu 036; Gang Wang 012 (CVPR, 2017)

Improving Fast Segmentation With Teacher-Student Learning. - Jiafeng Xie; Bing Shuai; Jianfang Hu; Jingyang Lin; Wei-Shi Zheng 001 (BMVC, 2018)

Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation. - Henghui Ding; Xudong Jiang 001; Bing Shuai; Ai Qun Liu; Gang Wang 012 (CVPR, 2018)

Scene Segmentation with DAG-Recurrent Neural Networks. - Bing Shuai; Zhen Zuo; Bing Wang 003; Gang Wang 012 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Recent advances in convolutional neural networks. - Jiuxiang Gu; Zhenhua Wang 002; Jason Kuen; Lianyang Ma; Amir Shahroudy; Bing Shuai; Ting Liu 009; Xingxing Wang; Gang Wang 012; Jianfei Cai 001; Tsuhan Chen (Pattern Recognit., 2018)

Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene Labeling. - Abrar H. Abdulnabi; Bing Shuai; Zhen Zuo; Lap-Pui Chau; Gang Wang 012 (IEEE Trans. Multim., 2018)

Semantic Correlation Promoted Shape-Variant Context for Segmentation. - Henghui Ding; Xudong Jiang 001; Bing Shuai; Ai Qun Liu; Gang Wang 012 (CVPR, 2019)

Scale-Aware Attention Network for Crowd Counting. - Rahul Rama Varior; Bing Shuai; Joe Tighe; Davide Modolo (CoRR, 2019)

Toward Achieving Robust Low-Level and High-Level Scene Parsing. - Bing Shuai; Henghui Ding; Ting Liu 009; Gang Wang 012; Xudong Jiang 001 (IEEE Trans. Image Process., 2019)

Directional Temporal Modeling for Action Recognition. - Xinyu Li 003; Bing Shuai; Joseph Tighe (ECCV (6), 2020)

Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. - Bing Shuai; Andrew G. Berneshawi; Manchen Wang; Chunhui Liu 002; Davide Modolo; Xinyu Li 003; Joseph Tighe (ACM Multimedia, 2020)

Multi-Object Tracking with Siamese Track-RCNN. - Bing Shuai; Andrew G. Berneshawi; Davide Modolo; Joseph Tighe (CoRR, 2020)

Semantic Segmentation With Context Encoding and Multi-Path Decoding. - Henghui Ding; Xudong Jiang 001; Bing Shuai; Ai Qun Liu; Gang Wang 012 (IEEE Trans. Image Process., 2020)

SiamMOT: Siamese Multi-Object Tracking. - Bing Shuai; Andrew G. Berneshawi; Xinyu Li 003; Davide Modolo; Joseph Tighe (CVPR, 2021)

VidTr: Video Transformer Without Convolutions. - Yanyi Zhang; Xinyu Li 003; Chunhui Liu 002; Bing Shuai; Yi Zhu 001; Biagio Brattoli; Hao Chen 024; Ivan Marsic; Joseph Tighe (ICCV, 2021)

Understanding the impact of mistakes on background regions in crowd counting. - Davide Modolo; Bing Shuai; Rahul Rama Varior; Joseph Tighe (WACV, 2021)

TubeR: Tube-Transformer for Action Detection. - Jiaojiao Zhao; Xinyu Li 003; Chunhui Liu 002; Bing Shuai; Hao Chen 024; Cees G. M. Snoek; Joseph Tighe (CoRR, 2021)

Multi-Object Tracking with Hallucinated and Unlabeled Videos. - Daniel McKee; Bing Shuai; Andrew G. Berneshawi; Manchen Wang; Davide Modolo; Svetlana Lazebnik; Joseph Tighe (CoRR, 2021)

Id-Free Person Similarity Learning. - Bing Shuai; Xinyu Li 003; Kaustav Kundu; Joseph Tighe (CVPR, 2022)

TubeR: Tubelet Transformer for Video Action Detection. - Jiaojiao Zhao; Yanyi Zhang; Xinyu Li 003; Hao Chen 024; Bing Shuai; Mingze Xu; Chunhui Liu 002; Kaustav Kundu; Yuanjun Xiong; Davide Modolo; Ivan Marsic; Cees G. M. Snoek; et al. (CVPR, 2022)

Large Scale Real-World Multi-person Tracking. - Bing Shuai; Alessandro Bergamo; Uta Büchler; Andrew G. Berneshawi; Alyssa Boden; Joseph Tighe (ECCV (8), 2022)

An In-depth Study of Stochastic Backpropagation. - Jun Fang; Mingze Xu; Hao Chen 024; Bing Shuai; Zhuowen Tu; Joseph Tighe (NeurIPS, 2022)

NUTA: Non-uniform Temporal Aggregation for Action Recognition. - Xinyu Li 003; Chunhui Liu 002; Bing Shuai; Yi Zhu 001; Hao Chen 024; Joseph Tighe (WACV, 2022)

Transfer of Representations to Video Label Propagation: Implementation Factors Matter. - Daniel McKee; Zitong Zhan; Bing Shuai; Davide Modolo; Joseph Tighe; Svetlana Lazebnik (CoRR, 2022)

SkeleTR: Towards Skeleton-based Action Recognition in the Wild. - Haodong Duan; Mingze Xu; Bing Shuai; Davide Modolo; Zhuowen Tu; Joseph Tighe; Alessandro Bergamo (ICCV, 2023)

MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation. - Najmeh Sadoughi; Xinyu Li 003; Avijit Vajpayee; David Fan; Bing Shuai; Hector J. Santos-Villalobos; Vimal Bhat; Rohith MV (ICCV, 2023)

Object-Centric Multiple Object Tracking. - Zixu Zhao; Jiaze Wang; Max Horn; Yizhuo Ding; Tong He 002; Zechen Bai; Dominik Zietlow; Carl-Johann Simon-Gabriel; Bing Shuai; Zhuowen Tu; Thomas Brox; Bernt Schiele; et al. (ICCV, 2023)

SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. - Haodong Duan; Mingze Xu; Bing Shuai; Davide Modolo; Zhuowen Tu; Joseph Tighe; Alessandro Bergamo (CoRR, 2023)

A rationale-augmented NLP framework to identify unilateral contractual change risk for construction projects. - Bing Shuai (Comput. Ind., 2023)

Self-Supervised Multi-Object Tracking with Path Consistency. - Zijia Lu; Bing Shuai; Yanbei Chen; Zhenlin Xu; Davide Modolo (CVPR, 2024)

Robustness Preserving Fine-Tuning Using Neuron Importance. - Guangrui Li 005; Rahul Duggal; Aaditya Singh; Kaustav Kundu; Bing Shuai; Jonathan Wu (ECCV (68), 2024)