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ORCIDWei Tang 0016
Person information
- affiliation: University of Illinois, Department of Computer Science, Chicago, IL, USA
- affiliation (PhD 2019): Northwestern University, Evanston, IL, USA
- affiliation (former): Beihang University, School of Astronautics, Image Processing Center, Beijing, China
Other persons with the same name
- Wei Tang — disambiguation page
- Wei Tang 0001 — Google Inc, New York, NY, USA (and 2 more)
- Wei Tang 0002
![[0000-0003-1925-0782]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1925-0782")
— New Mexico State University, Las Cruces, NM, USA (and 1 more) - Wei Tang 0003 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Wei Tang 0004 — Indiana University Bloomington, IN, USA (and 4 more)
- Wei Tang 0005 — Virginia Tech, Blacksburg, VA, USA
- Wei Tang 0006 — Georgia Institute of Technology, Atlanta, GA, USA
- Wei Tang 0007 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Wei Tang 0008 — China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China (and 1 more)
- Wei Tang 0009 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China (and 1 more)
- Wei Tang 0010 — University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
- Wei Tang 0011 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Wei Tang 0012 — Army Engineering University of PLA, Command and Control Engineering College, Nanjing, China
- Wei Tang 0013 — Beijing University of Posts and Telecommunications, Beijing, China
- Wei Tang 0014 — University of Groningen, The Netherlands
- Wei Tang 0015 — University of Science and Technology of China (USTC), China
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2020 – today
- 2024
[j20]Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua:
Transfer easy to hard: Adversarial contrastive feature learning for unsupervised person re-identification. Pattern Recognit. 145: 109973 (2024)- [j19]Haoyue Shi, Le Wang, Sanping Zhou, Gang Hua, Wei Tang:
Abnormal Ratios Guided Multi-Phase Self-Training for Weakly-Supervised Video Anomaly Detection. IEEE Trans. Multim. 26: 5575-5587 (2024) - [i10]Kun Xia, Le Wang, Sanping Zhou, Gang Hua, Wei Tang:
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes. CoRR abs/2403.11189 (2024) - 2023
- [j18]Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, David S. Doermann, Junsong Yuan, Gang Hua:
Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4136-4151 (2023) - [j17]Zixin Zhu, Le Wang, Wei Tang, Nanning Zheng, Gang Hua:
ContextLoc++: A Unified Context Model for Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9504-9519 (2023) - [j16]Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua:
Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11184-11202 (2023) - [j15]Le Wang, Hongzhen Liu, Sanping Zhou, Wei Tang, Gang Hua:
Instance Motion Tendency Learning for Video Panoptic Segmentation. IEEE Trans. Image Process. 32: 764-778 (2023) - [j14]Kun Xia, Le Wang, Yichao Shen, Sanping Zhou, Gang Hua, Wei Tang:
Exploring Action Centers for Temporal Action Localization. IEEE Trans. Multim. 25: 9425-9436 (2023) - [c25]Yuxuan Wu, Le Wang, Sanping Zhou, Jinghai Duan, Gang Hua, Wei Tang:
Multi-Stream Representation Learning for Pedestrian Trajectory Prediction. AAAI 2023: 2875-2882 - [c24]Zheng Qin, Sanping Zhou, Le Wang, Jinghai Duan, Gang Hua, Wei Tang:
MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking. CVPR 2023: 17939-17948 - [c23]Kun Xia, Le Wang, Sanping Zhou, Gang Hua, Wei Tang:
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization. ICCV 2023: 10126-10135 - [i9]Zheng Qin, Sanping Zhou, Le Wang, Jinghai Duan, Gang Hua, Wei Tang:
MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking. CoRR abs/2303.10404 (2023) - 2022
- [j13]Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Nanning Zheng, Gang Hua:
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5886-5902 (2022) - [j12]Haoyue Shi, Le Wang, Nanning Zheng, Gang Hua, Wei Tang:
Loss functions for pose guided person image generation. Pattern Recognit. 122: 108351 (2022) - [j11]Chengkang Shen, Peiyan Wang, Wei Tang:
Exploiting appearance transfer and multi-scale context for efficient person image generation. Pattern Recognit. 124: 108451 (2022) - [j10]Kun Xia, Le Wang, Sanping Zhou, Gang Hua, Wei Tang:
Dual relation network for temporal action localization. Pattern Recognit. 129: 108725 (2022) - [j9]Chi Zhang, Zihang Lin, Liheng Xu, Zongliang Li, Wei Tang, Yuehu Liu, Gaofeng Meng, Le Wang, Li Li:
Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4552-4572 (2022) - [j8]Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, Gang Hua:
Action Coherence Network for Weakly-Supervised Temporal Action Localization. IEEE Trans. Multim. 24: 1857-1870 (2022) - [c22]Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, Gang Hua:
Learning Disentangled Classification and Localization Representations for Temporal Action Localization. AAAI 2022: 3644-3652 - [c21]Kun Xia, Le Wang, Sanping Zhou, Nanning Zheng, Wei Tang:
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization. CVPR 2022: 13874-13883 - [i8]Kun Xia, Le Wang, Sanping Zhou, Nanning Zheng, Wei Tang:
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization. CoRR abs/2206.11493 (2022) - 2021
- [j7]Le Wang, Changbo Zhai, Qilin Zhang, Wei Tang, Nanning Zheng, Gang Hua:
Graph-based temporal action co-localization from an untrimmed video. Neurocomputing 434: 211-223 (2021) - [j6]Le Wang, Rizhi Ding, Yuanhao Zhai, Qilin Zhang, Wei Tang, Nanning Zheng, Gang Hua:
Giant Panda Identification. IEEE Trans. Image Process. 30: 2837-2849 (2021) - [c20]Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua:
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization. AAAI 2021: 2233-2241 - [c19]Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua:
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context. AAAI 2021: 2242-2250 - [c18]Mingyuan Liu, Dan Schonfeld, Wei Tang:
Exploit Visual Dependency Relations for Semantic Segmentation. CVPR 2021: 9726-9735 - [c17]Zhiming Zou, Tianqi Liu, Dapeng Wu, Wei Tang:
Compositional Graph Convolutional Networks for 3D Human Pose Estimation. FG 2021: 1-8 - [c16]Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua:
Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification. ICCV 2021: 3641-3650 - [c15]Zhiming Zou, Wei Tang:
Modulated Graph Convolutional Network for 3D Human Pose Estimation. ICCV 2021: 11457-11467 - [c14]Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction. ICCV 2021: 13148-13157 - [c13]Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, Gang Hua:
Enriching Local and Global Contexts for Temporal Action Localization. ICCV 2021: 13496-13505 - [i7]Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua:
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization. CoRR abs/2103.15088 (2021) - [i6]Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua:
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context. CoRR abs/2103.16155 (2021) - [i5]Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, Gang Hua:
Enriching Local and Global Contexts for Temporal Action Localization. CoRR abs/2107.12960 (2021) - [i4]Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction. CoRR abs/2108.00238 (2021) - 2020
- [c12]Kenkun Liu, Zhiming Zou, Wei Tang:
Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation. ACCV (1) 2020: 89-105 - [c11]He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu:
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. ACCV (6) 2020: 461-477 - [c10]Haoyue Shi, Le Wang, Wei Tang, Nanning Zheng, Gang Hua:
Loss Functions for Person Image Generation. BMVC 2020 - [c9]Zhiming Zou, Kenkun Liu, Le Wang, Wei Tang:
High-order Graph Convolutional Networks for 3D Human Pose Estimation. BMVC 2020 - [c8]Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua:
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization. ECCV (6) 2020: 37-54 - [c7]Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang:
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation. ECCV (10) 2020: 318-334 - [i3]He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu:
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score. CoRR abs/2009.13331 (2020) - [i2]Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua:
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization. CoRR abs/2010.11594 (2020)
2010 – 2019
- 2019
- [c6]Wei Tang, Ying Wu:
Does Learning Specific Features for Related Parts Help Human Pose Estimation? CVPR 2019: 1107-1116 - 2018
- [c5]Wei Tang, Pei Yu, Ying Wu:
Deeply Learned Compositional Models for Human Pose Estimation. ECCV (3) 2018: 197-214 - [i1]Wei Tang, John Corring, Ying Wu, Gang Hua:
A Compositional Textual Model for Recognition of Imperfect Word Images. CoRR abs/1811.11239 (2018) - 2017
- [c4]Wei Tang, Gang Hua, Liang Wang:
How to Train a Compact Binary Neural Network with High Accuracy? AAAI 2017: 2625-2631 - [c3]Jiahuan Zhou, Pei Yu, Wei Tang, Ying Wu:
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification. ICCV 2017: 2439-2447 - [c2]Wei Tang, Pei Yu, Jiahuan Zhou, Ying Wu:
Towards a Unified Compositional Model for Visual Pattern Modeling. ICCV 2017: 2803-2812 - 2016
- [c1]Dan Wang, Zhenwei Shi, Wei Tang:
Collaborative sparse unmixing of hyperspectral data using L2, P norm. IGARSS 2016: 6978-6981 - 2015
- [j5]Wei Tang, Zhenwei Shi, Ying Wu, Changshui Zhang:
Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information. IEEE Trans. Geosci. Remote. Sens. 53(2): 770-783 (2015) - [j4]Shuo Yang, Zhenwei Shi, Wei Tang:
Robust Hyperspectral Image Target Detection Using an Inequality Constraint. IEEE Trans. Geosci. Remote. Sens. 53(6): 3389-3404 (2015) - 2014
- [j3]Jiao Long, Zhenwei Shi, Wei Tang, Changshui Zhang:
Single Remote Sensing Image Dehazing. IEEE Geosci. Remote. Sens. Lett. 11(1): 59-63 (2014) - [j2]Zhenwei Shi, Wei Tang, Zhana Duren, Zhiguo Jiang:
Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 52(6): 3256-3274 (2014) - [j1]Wei Tang, Zhenwei Shi, Ying Wu:
Regularized Simultaneous Forward-Backward Greedy Algorithm for Sparse Unmixing of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 52(9): 5271-5288 (2014)
Coauthor Index
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