Nong SANG is a professor of the School of Artificial Intelligence and Automation. He is a member of Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology), Ministry of Education.
Academic Areas: Image Processing, Pattern Recognition, Computer Vision.
Research Interests: Image Restoration, Image/Video Semantic Segmentation, Action Detection/Recognition, Person Search/ReID
Academic Degrees
Sept. 1986-July 1990 Huazhong University of Science and Technology B.S. in Computer Software
Sept. 1990-May 1993 Huazhong University of Science and Technology M.S. in Pattern Recognition and Intelligent Control
Sept.1996-Jan. 2001 Huazhong University of Science and Technology Ph.D. in Control Science and Engineering
Professional Experience
February 2019-present: Professor, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
April 2013-January 2019: Professor, School of Automation, Huazhong University of Science and Technology
July 2002-March 2013: Professor, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
July 2001-June 2002: Postdoctoral Researcher, Department of Cognitive Sciences, University of California, Irvine
July 1998-June 2001: Professor, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
July 1996-June 1998: Associate Professor, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
July 1995-June 1996: Lecturer, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
June 1993-June 1995: Teaching Assistant, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, China
Selected Publications
1. Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, Dynamic Scene Deblurring by Depth Guided Model, IEEE Transactions on Image Processing, 2020, 29(1): 5273-5288
2. Lerenhan Li#, Yunlong Dong#, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, Semi-Supervised Image Dehazing, IEEE Transactions on Image Processing, 2020, 29(1): 2766-2779
3. Qiling Tang*, Nong Sang, Haihua Liu, Learning Nonclassical Receptive Field Modulation for Contour Detection, IEEE Transactions on Image Processing, 2020, 29(1): 1192-1203
4. Shiwei Zhang, Lin Song, Changxin Gao, Nong Sang*, GLNet Global Local Network for Weakly Supervised Action Localization, IEEE Transactions on Multimedia, 2020, 22(10):2610-2622
5. Chuchu Han, Ruochen Zheng, Changxin Gao*, Nong Sang, Complementation-Reinforced Attention Network for Person Re-Identification, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(10): 3433-3445
6. Zhenghua Huang, Yaozong Zhang*, Qian Li, Xuan Li, Tianxu Zhang, Nong Sang, Hanyu Hong, Joint Analysis and Weighted Synthesis Sparsity Priors for Simultaneous Denoising and Destriping Optical Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(10): 6958-6982
7. Juncai Peng, Yuanjie Shao*, Nong Sang, Changxin Gao, Joint image deblurring and matching with feature-based sparse representation prior, Pattern Recognition, 2020, 103: 107300
8. Yanrui Bin, Zhao-Min Chen, Xiu-Shen Wei*, Xinya Chen, Changxin Gao, Nong Sang*, Structure-aware human pose estimation with graph convolutional networks, Pattern Recognition, 2020, 106: 107410
9. Changxin Gao, Yang Chen, Jin-Gang Yu, Nong Sang*, Pose-guided Spatiotemporal Alignment for Video-based Person Re-identification, Information Sciences, 2020, 527: 176-190
10. Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang, GTNet: Generative Transfer Network for Zero-Shot Object Detection, AAAI2020
11. Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang*, Domain Adaptation for Image Dehazing, CVPR2020
12. Changqian Yu, Jingbo Wang, Changxin Gao*, Gang Yu, Chunhua Shen, Nong Sang, Context Prior for Scene Segmentation, CVPR2020
13. Shizhen Zhao, Changxin Gao*, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun, Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians, ECCV2020
14. Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang*, Representative Graph Neural Network, Lecture Notes in Computer Science, 2020, 12352: 379-396, ECCV2020
15. Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang*, Adversarial Semantic Data Augmentation for Human Pose Estimation, ECCV2020
16. Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, Blind Image Deblurring via Deep Discriminative Priors, International Journal of Computer Vision, 2019, 127(8): 1025-1043
17. Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao*, Nong Sang, Re-ID Driven Localization Refinement for Person Search, ICCV2019
18. Xinya Chen, Yanrui Bin, Nong Sang*, Changxin Gao, Scale Pyramid Network for Crowd Counting, WACV2019
19. Ruochen Zheng, Lerenhan Li, Chuchu Han, Changxin Gao*, Nong Sang, Camera Style and Identity Disentangling Network for Person Re-identification, BMVC2019
20. Shiwei Zhang, Changxin Gao, Jing Zhang, Feifei Chen, Nong Sang*, Discriminative Part Selection for Human Action Recognition, IEEE Transactions on Multimedia, 2018, 20(4):769-780
21. Jin Wang, Zheng Wang, Chao Liang, Changxin Gao*, Nong Sang, Equidistance Constrained Metric Learning for Person Re-identification, Pattern Recognition, 2018, 74: 38-51
22. Yuanjie Shao, Nong Sang*, Changxin Gao, Li Ma, Spatial and Class Structure Regularized Sparse Representation Graph for Semi-Supervised Hyperspectral Image Classification, Pattern Recognition, 2018, 81: 81-94
23. Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, Learning a Discriminative Feature Network for Semantic Segmentation, CVPR2018
24. Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, Learning a Discriminative Prior for Blind Image Deblurring, CVPR2018
25. Changqian Yu#, Jingbo Wang#, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, BiSeNet: Bilateral Segmentation Network, ECCV2018
26. Jun Xiang, Guoshuai Zhang, Nong Sang, Rui Huang, Jianhua Hou*, Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly, BMVC2018
27. Jin Wang, Zheng Wang, Changxin Gao*, Nong Sang, Rui Huang, DeepList: Learning Deep Features with Adaptive Listwise Constraint for Person Re-identification, IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(3): 513-524
28. Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang*, Robust Visual Tracking Using Exemplar-based Detectors, IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(2): 300-312
29. Shiwei Zhang, Changxin Gao*, Feifei Chen, Sihui Luo, Nong Sang, Group Sparse-Based Mid-Level Representation for Action Recognition, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(4):660-672
30. Yuanjie Shao, Nong Sang*, Changxin Gao, Li Ma, Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification, Pattern Recognition, 2017, 63: 102-114
31. Guowan Shao, Nong Sang, Regularized max-min linear discriminant analysis, Pattern Recognition, 2017, 66: 353-363
32. Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao*, Multi-target Tracking Using Hough Forest Random Field, IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(11): 2028-2042
33. Chang Han, Hongyan Zhang*, Changxin Gao, Cheng Jiang, Nong Sang, Liangpei Zhang, A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(1): 439-453
34. Changxin Gao, Nong Sang, Rui Huang*, Spatial Multi-scale Gradient Orientation Consistency for Place Instance and Scene Category Recognition, Information Sciences, 2016, 372: 84-97
35. Qiling Tang*, Nong Sang, Haihua Liu, Contrast-dependent surround suppression models for contour detection, Pattern Recognition, 2016, 60: 51-61
Awards and Honors
1. First Prize of Science and Technology Progress of Hubei Province, 2019
2. Second Prize of Science and Technology Progress of Hubei Province, 2016
Courses Taught
For Undergraduates: l
Computer Vision
For Graduates:
Computer Vision
Progress in Object Recognition and Tracking
Projects
Current Research Projects：
1. Jan. 2019-Dec.2022: National Natural Science Foundation of China (Grant No. 61871435): Actor and Motion based Attention for Weakly-Supervised Action Spatiotemporal Localization.
Finished Research Projects:
1. Jan. 2015-Dec.2019: National Natural Science Foundation of China (Grant No. 61433007): Real-time Object Recognition for Optical Imaging Terminal Guidance of High-Speed Aircrafts.
2. Jan. 2013-Dec.2016: National Natural Science Foundation of China (Grant No. 61271328): Occluded Object Tracking based on Layered Occlusion Models.
3. Jan. 2007-Dec.2009: National Natural Science Foundation of China (Grant No. 60672162): Automatic Generation of Human Portraits and Cartoons.
4. Jan. 2006-Dec.2008: National Natural Science Foundation of China (Grant No. 60575017): Motion Analysis with Human Visual Second Order Motion Perception and Global Motion Computation.
5. Aug. 2007-Dec. 2009: National High-Tech Research and Development Program of China (Grant No. 2007AA01Z166): Extraction of Scene Structure Features based on Human Visual Perception Principles and Statistical Learning.
