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ORCIDJiang Wang 0001
Person information
- affiliation: Baidu Research, Institute of Deep Learning, Sunnyvale, CA, USA
- affiliation (PhD 2014): Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, IL, USA
Other persons with the same name
- Jiang Wang — disambiguation page
- Jiang Wang 0002
![[0000-0002-2189-8003]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2189-8003")
— Tianjin University, School of Electrical and Information Engineering, China - Jiang Wang 0003 — National University of Defense Technology, Science and Technology on Information Systems Engineering Laboratory, Changsha, China
- Jiang Wang 0004 — Shanghai Research Center for Wireless Communications, Shanghai, China
- Jiang Wang 0005 — Sichuan University, College of Computer Science, National Key Laboratory of Fundamental Science on Synthetic Vision, Chengdu, China
- Jiang Wang 0006 — Beijing Institute of Technology, School of Aerospace Engineering, China
- Jiang Wang 0007 — Huazhong Agricultural University, College of Engineering, Wuhan, China
- Jiang Wang 0008 — George Mason University, Center of Secure Information Systems, Fairfax, VA, USA (and 1 more)
- Jiang Wang 0009 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, Key lab of wireless sensor network and communication, China
- Jiang Wang 0010 — Google Inc.
- Jiang Wang 0011 — MIT Sloan School of Management, Cambridge, Massachusetts, USA (and 1 more)
- Jiang Wang 0012 — Microsoft Cloud and AI
- Jiang Wang 0013 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, China (and 1 more)
- Jiang Wang 0014 — Sun Yat-Sen University, Department of Electronics and Communications Engineering, School of Information Science and Technology, Guangzhou, China
- Jiang Wang 0015 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
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2020 – today
- 2020
[c18]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CVPR 2020: 816-825
2010 – 2019
- 2019
- [i9]Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. CoRR abs/1911.09665 (2019) - 2018
- [j4]Guoqiang Liang, Xuguang Lan, Jiang Wang, Jianji Wang, Nanning Zheng:
A Limb-Based Graphical Model for Human Pose Estimation. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1080-1092 (2018) - 2017
- [j3]Jin Li, Xuguang Lan, Jiang Wang, Meng Yang, Nanning Zheng:
Fast additive quantization for vector compression in nearest neighbor search. Multim. Tools Appl. 76(22): 23273-23289 (2017) - [j2]Jin Li, Xuguang Lan, Xiangwei Li, Jiang Wang, Nanning Zheng, Ying Wu:
Online Variable Coding Length Product Quantization for Fast Nearest Neighbor Search in Mobile Retrieval. IEEE Trans. Multim. 19(3): 559-570 (2017) - [c17]Pei Yu, Jiang Wang, Ying Wu:
Human Action Segmentation using 3D Fully Convolutional Network. BMVC 2017 - 2016
- [c16]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CVPR 2016: 2285-2294 - [c15]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-Aware Semantic Image Segmentation. CVPR 2016: 3640-3649 - [c14]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks. CVPR 2016: 4584-4593 - [c13]Guoqiang Liang, Xuguang Lan, Jiang Wang, Nanning Zheng:
Human pose estimation based on human limbs. ICPR 2016: 913-918 - [i8]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CoRR abs/1604.04573 (2016) - 2015
- [c12]Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. ICCV 2015: 2533-2541 - [c11]Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang:
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. ICCV 2015: 2956-2964 - [c10]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). ICLR 2015 - [i7]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. CoRR abs/1504.06692 (2015) - [i6]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning using Hierarchical Recurrent Neural Networks. CoRR abs/1510.07712 (2015) - [i5]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-aware Semantic Image Segmentation. CoRR abs/1511.03339 (2015) - [i4]Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, Ram Nevatia:
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering. CoRR abs/1511.05960 (2015) - 2014
- [b1]Jiang Wang, Zicheng Liu, Ying Wu:
Human Action Recognition with Depth Cameras. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-04560-3, pp. 1-58 - [j1]Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan:
Learning Actionlet Ensemble for 3D Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 914-927 (2014) - [c9]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-Grained Image Similarity with Deep Ranking. CVPR 2014: 1386-1393 - [c8]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, Song-Chun Zhu:
Cross-View Action Modeling, Learning, and Recognition. CVPR 2014: 2649-2656 - [c7]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu:
Mining discriminative 3D Poselet for cross-view action recognition. WACV 2014: 634-639 - [i3]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-grained Image Similarity with Deep Ranking. CoRR abs/1404.4661 (2014) - [i2]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, Song-Chun Zhu:
Cross-view Action Modeling, Learning and Recognition. CoRR abs/1405.2941 (2014) - [i1]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Explain Images with Multimodal Recurrent Neural Networks. CoRR abs/1410.1090 (2014) - 2013
- [c6]Jiang Wang, Ying Wu:
Learning Maximum Margin Temporal Warping for Action Recognition. ICCV 2013: 2688-2695 - 2012
- [c5]Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan:
Mining actionlet ensemble for action recognition with depth cameras. CVPR 2012: 1290-1297 - [c4]Zhuoyuan Chen, Jiang Wang, Ying Wu:
Decomposing and regularizing sparse/non-sparse components for motion field estimation. CVPR 2012: 1776-1783 - [c3]Jiang Wang, Zicheng Liu, Jan Chorowski, Zhuoyuan Chen, Ying Wu:
Robust 3D Action Recognition with Random Occupancy Patterns. ECCV (2) 2012: 872-885 - [c2]Jiang Wang, Junsong Yuan, Zhuoyuan Chen, Ying Wu:
Spatial Locality-Aware Sparse Coding and Dictionary Learning. ACML 2012: 491-505 - 2011
- [c1]Jiang Wang, Zhuoyuan Chen, Ying Wu:
Action recognition with multiscale spatio-temporal contexts. CVPR 2011: 3185-3192
Coauthor Index
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