Bing Shuai - RankMe

69 papers A* 16A 3C 1Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Physion-Eval: Evaluating Physical Realism in Generated Video via Human Reasoning. CoRR Qin Zhang, Peiyu Jing, Hong-Xing Yu, Fangqiang Ding, Fan Nie, Weimin Wang, Yilun Du, James Zou, Jiajun Wu, Bing Shuai
2024	—	`conf`	Robustness Preserving Fine-Tuning Using Neuron Importance. ECCV (68) Guangrui Li, Rahul Duggal, Aaditya Singh, Kaustav Kundu, Bing Shuai, Jonathan Wu
2024	A*	`conf`	Self-Supervised Multi-Object Tracking with Path Consistency. CVPR Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo
2024	J	`jnl`	Self-Supervised Multi-Object Tracking with Path Consistency. CoRR Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo
2023	J	`jnl`	A rationale-augmented NLP framework to identify unilateral contractual change risk for construction projects. Comput. Ind. Bing Shuai
2023	A*	`conf`	MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation. ICCV Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector J. Santos-Villalobos, Vimal Bhat, Rohith MV
2023	J	`jnl`	MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation. CoRR Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector J. Santos-Villalobos, Vimal Bhat, Rohith MV
2023	A*	`conf`	Object-Centric Multiple Object Tracking. ICCV Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023	J	`jnl`	Object-Centric Multiple Object Tracking. CoRR Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao
2023	A*	`conf`	SkeleTR: Towards Skeleton-based Action Recognition in the Wild. ICCV Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
2023	J	`jnl`	SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo
2022	A*	`conf`	An In-depth Study of Stochastic Backpropagation. NeurIPS Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
2022	J	`jnl`	An In-depth Study of Stochastic Backpropagation. CoRR Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe
2022	A*	`conf`	Id-Free Person Similarity Learning. CVPR Bing Shuai, Xinyu Li, Kaustav Kundu, Joseph Tighe
2022	J	`jnl`	Large Scale Real-World Multi-Person Tracking. CoRR Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew G. Berneshawi, Alyssa Boden, Joseph Tighe
2022	—	`conf`	Large Scale Real-World Multi-person Tracking. ECCV (8) Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew G. Berneshawi, Alyssa Boden, Joseph Tighe
2022	A	`conf`	NUTA: Non-uniform Temporal Aggregation for Action Recognition. WACV Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe
2022	J	`jnl`	Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik
2022	A*	`conf`	TubeR: Tubelet Transformer for Video Action Detection. CVPR Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe
2021	J	`jnl`	Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe
2021	A*	`conf`	SiamMOT: Siamese Multi-Object Tracking. CVPR Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
2021	J	`jnl`	SiamMOT: Siamese Multi-Object Tracking. CoRR Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
2021	J	`jnl`	TubeR: Tube-Transformer for Action Detection. CoRR Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe
2021	A	`conf`	Understanding the impact of mistakes on background regions in crowd counting. WACV Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe
2021	A*	`conf`	VidTr: Video Transformer Without Convolutions. ICCV Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
2021	J	`jnl`	VidTr: Video Transformer Without Convolutions. CoRR Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
2020	A*	`conf`	Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. ACM Multimedia Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Chunhui Liu, Davide Modolo, Xinyu Li, Joseph Tighe
2020	—	`conf`	Directional Temporal Modeling for Action Recognition. ECCV (6) Xinyu Li, Bing Shuai, Joseph Tighe
2020	J	`jnl`	Directional Temporal Modeling for Action Recognition. CoRR Xinyu Li, Bing Shuai, Joseph Tighe
2020	J	`jnl`	Multi-Object Tracking with Siamese Track-RCNN. CoRR Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe
2020	J	`jnl`	NUTA: Non-uniform Temporal Aggregation for Action Recognition. CoRR Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe
2020	J	`jnl`	Semantic Segmentation With Context Encoding and Multi-Path Decoding. IEEE Trans. Image Process. Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
2020	J	`jnl`	Understanding the impact of mistakes on background regions in crowd counting. CoRR Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe
2019	J	`jnl`	Scale-Aware Attention Network for Crowd Counting. CoRR Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo
2019	A*	`conf`	Semantic Correlation Promoted Shape-Variant Context for Segmentation. CVPR Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
2019	J	`jnl`	Semantic Correlation Promoted Shape-Variant Context for Segmentation. CoRR Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
2019	J	`jnl`	Toward Achieving Robust Low-Level and High-Level Scene Parsing. IEEE Trans. Image Process. Bing Shuai, Henghui Ding, Ting Liu, Gang Wang, Xudong Jiang
2018	A*	`conf`	Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation. CVPR Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
2018	A	`conf`	Improving Fast Segmentation With Teacher-Student Learning. BMVC Jiafeng Xie, Bing Shuai, Jianfang Hu, Jingyang Lin, Wei-Shi Zheng
2018	J	`jnl`	Improving Fast Segmentation With Teacher-student Learning. CoRR Jiafeng Xie, Bing Shuai, Jianfang Hu, Jingyang Lin, Wei-Shi Zheng
2018	J	`jnl`	Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene Labeling. IEEE Trans. Multim. Abrar H. Abdulnabi, Bing Shuai, Zhen Zuo, Lap-Pui Chau, Gang Wang
2018	J	`jnl`	Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling. CoRR Abrar H. Abdulnabi, Bing Shuai, Zhen Zuo, Lap-Pui Chau, Gang Wang
2018	J	`jnl`	Recent advances in convolutional neural networks. Pattern Recognit. Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang, Jianfei Cai, Tsuhan Chen
2018	J	`jnl`	Scene Segmentation with DAG-Recurrent Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Bing Shuai, Zhen Zuo, Bing Wang, Gang Wang
2017	A*	`conf`	Deep Level Sets for Salient Object Detection. CVPR Ping Hu, Bing Shuai, Jun Liu, Gang Wang
2017	A*	`conf`	Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling. CVPR Abrar H. Abdulnabi, Bing Shuai, Stefan Winkler, Gang Wang
2016	J	`jnl`	A Siamese Long Short-Term Memory Architecture for Human Re-Identification. CoRR Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang
2016	—	`conf`	A Siamese Long Short-Term Memory Architecture for Human Re-identification. ECCV (7) Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang
2016	A*	`conf`	DAG-Recurrent Neural Networks for Scene Labeling. CVPR Bing Shuai, Zhen Zuo, Bing Wang, Gang Wang
2016	J	`jnl`	Decomposed human localization from social photo album. Multim. Syst. Shaozi Li, Miaohui Zhang, Songzhi Su, Bing Shuai, Rongrong Ji
2016	J	`jnl`	Improving Fully Convolution Network for Semantic Segmentation. CoRR Bing Shuai, Ting Liu, Gang Wang
2016	J	`jnl`	Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Based on Large-Scale Datasets. CoRR Bing Wang, Kap Luk Chan, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Gang Wang
2016	—	`conf`	Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association. CVPR Workshops Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang
2016	J	`jnl`	Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks. IEEE Trans. Image Process. Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen
2016	J	`jnl`	Scene Parsing With Integration of Parametric and Non-Parametric Models. IEEE Trans. Image Process. Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang
2016	J	`jnl`	Scene Parsing with Integration of Parametric and Non-parametric Models. CoRR Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang
2015	—	`conf`	Convolutional recurrent neural networks: Learning spatial dependencies for image representation. CVPR Workshops Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen
2015	J	`jnl`	DAG-Recurrent Neural Networks For Scene Labeling. CoRR Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang
2015	J	`jnl`	Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification. CoRR Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang
2015	J	`jnl`	Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification. Pattern Recognit. Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang
2015	A*	`conf`	Integrating parametric and non-parametric models for scene labeling. CVPR Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao
2015	J	`jnl`	Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks. CoRR Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang
2015	—	`conf`	Learning semantic visual dictionaries: A new method for local feature encoding. DSP Bing Shuai, Zhen Zuo, Gang Wang
2015	J	`jnl`	Quaddirectional 2D-Recurrent Neural Networks For Image Labeling. IEEE Signal Process. Lett. Bing Shuai, Zhen Zuo, Gang Wang
2015	J	`jnl`	Recent Advances in Convolutional Neural Networks. CoRR Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang
2014	—	`conf`	Learning Discriminative and Shareable Features for Scene Classification. ECCV (1) Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang, Xudong Jiang
2013	C	`conf`	Decomposed human localization in personal photo albums. VCIP Bing Shuai, Songzhi Su, Shaozi Li, Yun Cheng, Rongrong Ji
2012	—	`conf`	Research on Preprocessing Technique of Alert Aggregation. CSO Chengpo Mu, Bing Shuai
2011	—	`conf`	A Hierarchical Clustering Based Non-Maximum Suppression Method in Pedestrian Detection. IScIDE Bing Shuai, Yun Cheng, Shaozi Li, Songzhi Su