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Qiang Zhang 0021
Person information
- affiliation: Samsung Electronic, Advanced Image Research Lab, Pasadena, CA, USA
- affiliation (PhD 2014): Arizona State University, Department of Computer Science and Engineering, Tempe, AZ, USA
Other persons with the same name
- Qiang Zhang — disambiguation page
- Qiang Zhang 0001
— Xidian University, Remote Sensing, Image Processing & Fusion Group, Xi'an, China
- Qiang Zhang 0002
- Qiang Zhang 0003
- Qiang Zhang 0004
- Qiang Zhang 0005
- Qiang Zhang 0006
- Qiang Zhang 0007
- Qiang Zhang 0008
- Qiang Zhang 0009
- Qiang Zhang 0010
- Qiang Zhang 0011
- Qiang Zhang 0012
- Qiang Zhang 0013
- Qiang Zhang 0014 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Qiang Zhang 0015
- Qiang Zhang 0016
- Qiang Zhang 0017
- Qiang Zhang 0018
- Qiang Zhang 0019 — University of Strasbourg, France
- Qiang Zhang 0020
- Qiang Zhang 0022
- Qiang Zhang 0023
- Qiang Zhang 0024
- Qiang Zhang 0025
- Qiang Zhang 0026
- Qiang Zhang 0027 — Nanjing University of Aeronautics and Astronautics, China
- Qiang Zhang 0028
- Qiang Zhang 0029 — Hong Kong University of Science and Technology, School of Computer Science, Guangzhou, Hong Kong
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2010 – 2019
- 2016
- [c13]Yilin Wang, Qiang Zhang, Baoxin Li:
Efficient unsupervised abnormal crowd activity detection based on a spatiotemporal saliency detector. WACV 2016: 1-9 - 2015
- [b2]Qiang Zhang, Baoxin Li:
Dictionary Learning in Visual Computing. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2015, ISBN 978-3-031-01125-2, pp. 1-151 - [j2]Qiang Zhang, Baoxin Li:
Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1206-1218 (2015) - [c12]Lin Chen, Qiang Zhang, Peng Zhang, Baoxin Li:
Instructive video retrieval for surgical skill coaching using attribute learning. ICME 2015: 1-6 - [c11]Yilin Wang, Qiang Zhang, Baoxin Li:
Structure-preserving Image Quality Assessment. ICME 2015: 1-6 - [i1]Qiang Zhang, Yilin Wang, Baoxin Li:
Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector. CoRR abs/1503.06917 (2015) - 2014
- [b1]Qiang Zhang:
Semantic Sparse Learning in Images and Videos. Arizona State University, Tempe, USA, 2014 - [j1]Qiang Zhang, Lin Chen, Baoxin Li:
Max-Margin Multiattribute Learning With Low-Rank Constraint. IEEE Trans. Image Process. 23(7): 2866-2876 (2014) - [c10]Qiang Zhang, Jiayu Zhou, Yilin Wang, Jieping Ye, Baoxin Li:
Image Cosegmentation via Multi-task Learning. BMVC 2014 - [c9]Lin Chen, Qiang Zhang, Baoxin Li:
Predicting Multiple Attributes via Relative Multi-task Learning. CVPR 2014: 1027-1034 - 2013
- [c8]Qiang Zhang, Baoxin Li:
Relative Hidden Markov Models for Evaluating Motion Skill. CVPR 2013: 548-555 - [c7]Qiang Zhang, Lin Chen, Qiongjie Tian, Baoxin Li:
Video-based analysis of motion skills in simulation-based surgical training. Multimedia Content and Mobile Devices 2013: 86670A - [c6]Lin Chen, Qiang Zhang, Qiongjie Tian, Baoxin Li:
Learning Skill-Defining Latent Space in Video-based Analysis of Surgical Expertise - A Multi-Stream Fusion Approach. MMVR 2013: 66-70 - 2012
- [c5]Qiang Zhang, Baoxin Li:
Mining discriminative components with low-rank and sparsity constraints for face recognition. KDD 2012: 1469-1477 - 2010
- [c4]Jin Zhou, Qiang Zhang, Baoxin Li, Ananya Das:
Synthesis of stereoscopic views from monocular endoscopic videos. CVPR Workshops 2010: 55-62 - [c3]Qiang Zhang, Baoxin Li:
Discriminative K-SVD for dictionary learning in face recognition. CVPR 2010: 2691-2698 - [c2]Qiang Zhang, Baoxin Li:
Joint Sparsity Model with Matrix Completion for an ensemble of face images. ICIP 2010: 1665-1668 - [c1]Qiang Zhang, Baoxin Li:
Towards Computational Understanding of Skill Levels in Simulation-Based Surgical Training via Automatic Video Analysis. ISVC (3) 2010: 249-260
Coauthor Index
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