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Bing Shuai
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2020 – today
- 2024
- [c30]Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo:
Self-Supervised Multi-Object Tracking with Path Consistency. CVPR 2024: 19016-19026 - [c29]Guangrui Li
, Rahul Duggal
Robustness Preserving Fine-Tuning Using Neuron Importance. ECCV (68) 2024: 54-69 - [i27]Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo:
Self-Supervised Multi-Object Tracking with Path Consistency. CoRR abs/2404.05136 (2024) - 2023
- [j11]Bing Shuai:
A rationale-augmented NLP framework to identify unilateral contractual change risk for construction projects. Comput. Ind. 149: 103940 (2023) - [c28]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towards Skeleton-based Action Recognition in the Wild. ICCV 2023: 13588-13598 - [c27]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:
Object-Centric Multiple Object Tracking. ICCV 2023: 16555-16565 - [c26]Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector J. Santos-Villalobos, Vimal Bhat, Rohith MV:
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation. ICCV 2023: 23274-23283 - [i26]Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector J. Santos-Villalobos, Vimal Bhat, Rohith MV:
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation. CoRR abs/2308.11185 (2023) - [i25]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
Object-Centric Multiple Object Tracking. CoRR abs/2309.00233 (2023) - [i24]Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo:
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild. CoRR abs/2309.11445 (2023) - 2022
- [c25]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:
TubeR: Tubelet Transformer for Video Action Detection. CVPR 2022: 13588-13597 - [c24]Bing Shuai, Xinyu Li, Kaustav Kundu, Joseph Tighe:
Id-Free Person Similarity Learning. CVPR 2022: 14669-14679 - [c23]Bing Shuai
Large Scale Real-World Multi-person Tracking. ECCV (8) 2022: 504-521 - [c22]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. NeurIPS 2022 - [c21]Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. WACV 2022: 827-836 - [i23]Daniel McKee, Zitong Zhan, Bing Shuai, Davide Modolo, Joseph Tighe, Svetlana Lazebnik:
Transfer of Representations to Video Label Propagation: Implementation Factors Matter. CoRR abs/2203.05553 (2022) - [i22]Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe:
An In-depth Study of Stochastic Backpropagation. CoRR abs/2210.00129 (2022) - [i21]Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew G. Berneshawi, Alyssa Boden, Joseph Tighe:
Large Scale Real-World Multi-Person Tracking. CoRR abs/2211.02175 (2022) - 2021
- [c20]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CVPR 2021: 12372-12382 - [c19]Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. ICCV 2021: 13557-13567 - [c18]Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe:
Understanding the impact of mistakes on background regions in crowd counting. WACV 2021: 1649-1658 - [i20]Jiaojiao Zhao, Xinyu Li, Chunhui Liu, Bing Shuai, Hao Chen, Cees G. M. Snoek, Joseph Tighe:
TubeR: Tube-Transformer for Action Detection. CoRR abs/2104.00969 (2021) - [i19]Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe:
VidTr: Video Transformer Without Convolutions. CoRR abs/2104.11746 (2021) - [i18]Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe:
SiamMOT: Siamese Multi-Object Tracking. CoRR abs/2105.11595 (2021) - [i17]Daniel McKee, Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Davide Modolo, Svetlana Lazebnik, Joseph Tighe:
Multi-Object Tracking with Hallucinated and Unlabeled Videos. CoRR abs/2108.08836 (2021) - 2020
- [j10]Henghui Ding
Semantic Segmentation With Context Encoding and Multi-Path Decoding. IEEE Trans. Image Process. 29: 3520-3533 (2020) - [c17]Xinyu Li
Directional Temporal Modeling for Action Recognition. ECCV (6) 2020: 275-291 - [c16]Bing Shuai, Andrew G. Berneshawi, Manchen Wang, Chunhui Liu, Davide Modolo, Xinyu Li, Joseph Tighe:
Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. ACM Multimedia 2020: 4625-4629 - [i16]Davide Modolo, Bing Shuai, Rahul Rama Varior, Joseph Tighe:
Understanding the impact of mistakes on background regions in crowd counting. CoRR abs/2003.13759 (2020) - [i15]Bing Shuai, Andrew G. Berneshawi, Davide Modolo, Joseph Tighe:
Multi-Object Tracking with Siamese Track-RCNN. CoRR abs/2004.07786 (2020) - [i14]Xinyu Li, Bing Shuai, Joseph Tighe:
Directional Temporal Modeling for Action Recognition. CoRR abs/2007.11040 (2020) - [i13]Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. CoRR abs/2012.08041 (2020)
2010 – 2019
- 2019
- [j9]Bing Shuai, Henghui Ding
Toward Achieving Robust Low-Level and High-Level Scene Parsing. IEEE Trans. Image Process. 28(3): 1378-1390 (2019) - [c15]Henghui Ding
Semantic Correlation Promoted Shape-Variant Context for Segmentation. CVPR 2019: 8885-8894 - [i12]Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo:
Scale-Aware Attention Network for Crowd Counting. CoRR abs/1901.06026 (2019) - [i11]Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang:
Semantic Correlation Promoted Shape-Variant Context for Segmentation. CoRR abs/1909.02651 (2019) - 2018
- [j8]Bing Shuai
Scene Segmentation with DAG-Recurrent Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1480-1493 (2018) - [j7]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy
Recent advances in convolutional neural networks. Pattern Recognit. 77: 354-377 (2018) - [j6]Abrar H. Abdulnabi
Multimodal Recurrent Neural Networks With Information Transfer Layers for Indoor Scene Labeling. IEEE Trans. Multim. 20(7): 1656-1671 (2018) - [c14]Jiafeng Xie, Bing Shuai, Jianfang Hu, Jingyang Lin, Wei-Shi Zheng:
Improving Fast Segmentation With Teacher-Student Learning. BMVC 2018: 205 - [c13]Henghui Ding
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation. CVPR 2018: 2393-2402 - [i10]Abrar H. Abdulnabi, Bing Shuai, Zhen Zuo, Lap-Pui Chau, Gang Wang:
Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling. CoRR abs/1803.04687 (2018) - [i9]Jiafeng Xie, Bing Shuai, Jianfang Hu, Jingyang Lin, Wei-Shi Zheng:
Improving Fast Segmentation With Teacher-student Learning. CoRR abs/1810.08476 (2018) - 2017
- [c12]Ping Hu, Bing Shuai, Jun Liu
Deep Level Sets for Salient Object Detection. CVPR 2017: 540-549 - [c11]Abrar H. Abdulnabi, Bing Shuai, Stefan Winkler, Gang Wang:
Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling. CVPR 2017: 6278-6287 - 2016
- [j5]Shaozi Li, Miaohui Zhang, Songzhi Su, Bing Shuai, Rongrong Ji:
Decomposed human localization from social photo album. Multim. Syst. 22(1): 137-148 (2016) - [j4]Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang:
Scene Parsing With Integration of Parametric and Non-Parametric Models. IEEE Trans. Image Process. 25(5): 2379-2391 (2016) - [j3]Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen:
Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks. IEEE Trans. Image Process. 25(7): 2983-2996 (2016) - [c10]Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang:
Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association. CVPR Workshops 2016: 386-393 - [c9]Bing Shuai, Zhen Zuo, Bing Wang, Gang Wang:
DAG-Recurrent Neural Networks for Scene Labeling. CVPR 2016: 3620-3629 - [c8]Rahul Rama Varior, Bing Shuai, Jiwen Lu
A Siamese Long Short-Term Memory Architecture for Human Re-identification. ECCV (7) 2016: 135-153 - [i8]Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang:
Scene Parsing with Integration of Parametric and Non-parametric Models. CoRR abs/1604.05848 (2016) - [i7]Bing Wang, Kap Luk Chan, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Gang Wang:
Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Based on Large-Scale Datasets. CoRR abs/1605.04502 (2016) - [i6]Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang:
A Siamese Long Short-Term Memory Architecture for Human Re-Identification. CoRR abs/1607.08381 (2016) - [i5]Bing Shuai, Ting Liu, Gang Wang:
Improving Fully Convolution Network for Semantic Segmentation. CoRR abs/1611.08986 (2016) - 2015
- [j2]Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang
Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification. Pattern Recognit. 48(10): 3004-3015 (2015) - [j1]Bing Shuai, Zhen Zuo, Gang Wang:
Quaddirectional 2D-Recurrent Neural Networks For Image Labeling. IEEE Signal Process. Lett. 22(11): 1990-1994 (2015) - [c7]Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang, Yushi Chen:
Convolutional recurrent neural networks: Learning spatial dependencies for image representation. CVPR Workshops 2015: 18-26 - [c6]Bing Shuai, Gang Wang, Zhen Zuo, Bing Wang, Lifan Zhao:
Integrating parametric and non-parametric models for scene labeling. CVPR 2015: 4249-4258 - [c5]Bing Shuai, Zhen Zuo, Gang Wang:
Learning semantic visual dictionaries: A new method for local feature encoding. DSP 2015: 901-905 - [i4]Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang:
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification. CoRR abs/1508.05306 (2015) - [i3]Bing Shuai, Zhen Zuo, Gang Wang, Bing Wang:
DAG-Recurrent Neural Networks For Scene Labeling. CoRR abs/1509.00552 (2015) - [i2]Zhen Zuo, Bing Shuai, Gang Wang, Xiao Liu, Xingxing Wang, Bing Wang:
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks. CoRR abs/1509.03877 (2015) - [i1]Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Gang Wang:
Recent Advances in Convolutional Neural Networks. CoRR abs/1512.07108 (2015) - 2014
- [c4]Zhen Zuo, Gang Wang, Bing Shuai, Lifan Zhao, Qingxiong Yang
Learning Discriminative and Shareable Features for Scene Classification. ECCV (1) 2014: 552-568 - 2013
- [c3]Bing Shuai, Songzhi Su, Shaozi Li, Yun Cheng, Rongrong Ji:
Decomposed human localization in personal photo albums. VCIP 2013: 1-6 - 2012
- [c2]Chengpo Mu, Bing Shuai:
Research on Preprocessing Technique of Alert Aggregation. CSO 2012: 597-600 - 2011
- [c1]Bing Shuai, Yun Cheng, Shaozi Li, Songzhi Su:
A Hierarchical Clustering Based Non-Maximum Suppression Method in Pedestrian Detection. IScIDE 2011: 201-209
Coauthor Index
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