Lin Zhao (赵林)
Associate Professor, Nanjing University of Science and Technology
Email:linzhao[at]njust[dot]edu[dot]cn
Research Interest
Computer vision, Pattern recognition (Current research interests: human pose estimation, video based human behavior analysis)
I am looking for several master students, let us do some innovative and exciting research works of computer vision.
Short bio
Lin Zhao received the B.E. degree from Xidian University, China, in 2010. In June 2017, he obtained the PhD degree in pattern recognition and intelligent systems from Xidian University, China, under the supervision of Prof. Xinbo Gao. In 2015, he was an visiting schoolar at Northeastern University, USA. He is now an associate professor at NJUST.
Scientific research project
- National Natural Science Foundation of China (NSFC), Research on individual abnormal Behavior detection in complex video scenes, 2022.01-2025.12 (host)
- ISN State Key Laboratory open Project, Abnormal Behavior Detection Based on Human Posture Dynamic Modeling, 2021.03-2023.03 (host)
- Research on abnormal Human behavior detection for public Safety, China Postdoctoral Foundation, 2020.09-2022.08 (host)
- National Natural Science Foundation of China (NSFC), Research on 3d Human pose tracking method for Open Environment, 2019.01-2021.12 (host)
- Natural Science Foundation of Jiangsu Province, Youth Project, Research on three-dimensional human posture Tracking under outdoor open conditions, 2018.07-2021.06 (host)
Selected publications [Google Scholar]
Ling Li, Lin Zhao, Linhao Xu, Jie Xu. Toward High Performance One-stage Human Pose Estimation, In ACM Mulitimedia Asia (MMAsia'22), December 13-16, 2022, Tokyo, Japan.
[Code]
Yao Tang, Lin Zhao（*）, Zhaoling Yao, et al. Graph-Based Motion Prediction for Abnormal Action Detection// Proceedings of the ACM Multimedia Asia (MM asia), 2020, 1-7. (Oral)
[Paper]
[NJUST-Anomaly Dataset]
[Video Demo]
Jingchen Ke, Chen Gong, Tongliang Liu, Lin Zhao, Jian Yang, Dacheng Tao. Laplacian Welsch Regularization for Robust Semisupervised Learning, IEEE Transactions on Cybernetics (TC), 2020, DOI: 10.1109/TCYB.2019.2953337.
[Paper]
Lin Zhao, Jie Xu, Shanshan Zhang, Chen Gong, Jian Yang, Xinbo Gao. Perceiving heavily occluded human poses by assigning unbiased score, Information Science (INS), 2020, 537(10): 284-301.
[Paper]
Lin Zhao, Meimei Shang, Fei Gao, Rongsheng Li, Fei Huang, Jun Yu. Representation learning of image composition for aesthetic prediction, Computer Vision and Image Understanding (CVIU), 2020, 199(10): 103024.
[Paper]
Yao Tang, Lin Zhao（*）, Shanshan Zhang, Chen Gong, Guangyu Li, Jian Yang（*）. Integrating prediction and reconstruction for anomaly detection, Pattern Recognition Letters (PRL), 2020, 129(1): 123-130.
[Paper]
Jie Xu,Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang, Multi-task learning for object keypoints detection and classification, Pattern Recognition Letters (PRL), 2020, 130(2): 182-188
[Paper]
Yu Guo, Lin Zhao, Shanshan Zhang, Jian Yang. Coarse-to-Fine 3D Human Pose Estimation//International Conference on Image and Graphics (ICIG). Springer, Cham, 2019: 579-592.
[Paper]
Lin Zhao, Xinbo Gao, Dacheng Tao, Xuelong Li, Learning a tracking and estimation integrated graphical model for human pose tracking, IEEE Transactions on neural networks and learning systems (TNNLS), 2015, 26(12): 3176-3186.
[Paper]
Lin Zhao, Xinbo Gao, Dacheng Tao, Xuelong Li, Tracking human pose using max-margin markov models, IEEE Transactions on Image Processing (TIP), 2015, 24(12): 5274-5287.
[Paper]
Lin Zhao, Xinbo Gao, Dacheng Tao, Xuelong Li, A deep structure for human pose estimation. Signal Processing (SP), 2015, 31(108): 36-45.
[Paper]
Lin Zhao, Xinbo Gao, Yuan Yuan, Dapeng Tao. Sparse frontal face image synthesis from an arbitrary profile image. Neurocomputing, 2014, 128(3): 466–475.
[Paper]