Tao Wang

Tao Wang

Associate Professor

Minjiang University

Biography

I am an Associate Professor in the College of Computer and Data Science 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 Engineering, 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
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification. Computers in Biology and Medicine, 2023.

Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment. Bioengineering, 2023.

Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition
Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition. Biomimetics, 2023.

A Multi-Level Approach to Waste Object Segmentation
A Multi-Level Approach to Waste Object Segmentation. Sensors, 2020.

Learning a Layout Transfer Network for Context Aware Object Detection
Learning a Layout Transfer Network for Context Aware Object Detection. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.

Efficient Scene Layout Aware Object Detection for Traffic Surveillance
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.

Glass Object Segmentation by Label Transfer on Joint Depth and Appearance Manifolds
Glass Object Segmentation by Label Transfer on Joint Depth and Appearance Manifolds. IEEE International Conference on Image Processing (ICIP), 2013.

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

Glass Object Localization by Joint Inference of Boundary and Depth
Glass Object Localization by Joint Inference of Boundary and Depth. IEEE International Conference on Pattern Recognition (ICPR), 2012.

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

Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data
Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011.

Teaching

  • Introduction to Artificial Intelligence
  • Programming Principles I - Robotics Lab
  • Linux System Applications
  • Comprehensive Training in Digital Systems
  • Professional English for Computer Science

Services

  • Reviewer for Pattern Recognition, IET Computer Vision, IET Image Processing, IET Intelligent Transport Systems, Machine Vision and Applications, IJCAI, AAAI, ICPR

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