Tao Wang

Associate Professor

Minjiang University

Biography

I am an Associate Professor in the College of Computer and Control Engineering and the International Digital Economy College at Minjiang University. I obtained my PhD from The Australian National University, working with Xuming He and Nick Barnes. I was also a member of the Computer Vision Research Group, National ICT Australia, Canberra.

Interests

Object detection and segmentation
Context modeling for scene understanding
Learning and inference for computer vision

Education

Ph.D. in Computer Science, 2016

The Australian National University
B.E. in Information Engineering, 2009

South China University of Technology

Publications

Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification

Zhongzheng Huang, Jiawei Wu, Tao Wang, Zuoyong Li, Anastasia Ioannou. Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification. Computers in Biology and Medicine, 2023.

Tao Wang, Zhongzheng Huang, Jiawei Wu, Yuanzheng Cai, Zuoyong Li. Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment. Bioengineering, 2023.

Zhengyao Wen, Wenzhong Lin, Tao Wang, Ge Xu. Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition. Biomimetics, 2023.

Tao Wang, Yuanzheng Cai, Lingyu Liang, Dongyi Ye. A Multi-Level Approach to Waste Object Segmentation. Sensors, 2020.

Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao. Learning a Layout Transfer Network for Context Aware Object Detection. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.

Tao Wang, Xuming He, Songzhi Su, Yin Guan. Efficient Scene Layout Aware Object Detection for Traffic Surveillance. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Traffic Surveillance Workshop and Challenge Best Paper Award, 2017.

Tao Wang, Xuming He, Nick Barnes. Glass Object Segmentation by Label Transfer on Joint Depth and Appearance Manifolds. IEEE International Conference on Image Processing (ICIP), 2013.

Tao Wang, Xuming He, Nick Barnes. Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

Tao Wang, Xuming He, Nick Barnes. Glass Object Localization by Joint Inference of Boundary and Depth. IEEE International Conference on Pattern Recognition (ICPR), 2012.

Tao Wang, Xuming He, Nick Barnes. Learning Hough Forest with Depth-Encoded Context for Object Detection. IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2012.

Tao Wang, Xuming He, Chunhua Shen, Nick Barnes. Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011.