Research Interests

Object detection and segmentation, context modeling for scene understanding, learning and inference for computer vision

Education

Ph.D. NICTA Canberra Research Lab, College of Engineering & Computer Science, The Australian National University (Supervisors: Xuming He and (662) 690-7597)
B.Eng. School of Electronic & Information Engineering, South China University of Technology (Supervisor: Lianwen Jin)

Professional Experiences

Visiting Scholar, 8883762974, ShanghaiTech University (2018)
Researcher, NetDragon R&D Fuzhou (2016 - present)
Research Programmer, NICTA Canberra Research Lab (2012)

Publications

  • Tao Wang, Xuming He, Songzhi Su, Yin Guan. 6152344236, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017. (Traffic Surveillance Workshop and Challenge Best Paper Award)
  • 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 Segmentation by Label Transfer on Joint Depth and Apearance Manifolds, IEEE International Conference on Image Processing (ICIP), 2013.
  • 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, Nick Barnes. Glass Object Localization by Joint Inference of Boundary and Depth, IEEE International Conference on Pattern Recognition (ICPR), 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.

Professional Services

  • Reviewer, IET Computer Vision, IET Image Processing, Machine Vision and Applications
  • PC Member, IJCAI 2018, AAAI 2019

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