Xuming He
Associate Professor, PI
Information Science and Technology
Shanghai Tech University
China
Biography
Xuming He received the B.Sc. and M.Sc. degrees in electronics engineering from Shanghai Jiao Tong University, in 1998 and 2001, respectively, and Ph.D. degree in computer science from the University of Toronto in 2008. He held a postdoctoral position in Prof Alan Yuille’s group at the University of California at Los Angeles (UCLA) from 2008 to 2010. After that, he joined in National ICT Australia (NICTA) as a Researcher in 2010 and was a Senior Researcher from 2013 to 2016. Since 2016, he has been a senior research scientist at Data61, CSIRO. He was also an adjunct Research Fellow level B from 2010 to 2012 and level C since 2013 at the Australian National University (ANU). He joined in ShanghaiTech as an associate professor, PI in Jan 2017.
Research Interest
Xuming He’s general research interests lie in machine learning, computer vision and biological vision. In particular, his current research focuses on semantic segmentation, object detection, 3D scene understanding, visual motion analysis, efficient inference and learning in structured models, and artificial vision. He has more than 50 conference and journal publications, including CVPR, ICCV, ECCV, AAAI, NIPS, IEEE TIP, IEEE TPAMI, Journal of Vision, etc.
Publications
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Buyu Liu, Xuming He, Multiclass Semantic Video Segmentation with Object-Level Active Inference, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
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Zeeshan Hayder, Xuming He, Mathieu Salzmann, Structural Kernel Learning for Large Scale Multiclass Object Co-Detection, International Conference on Computer Vision (ICCV), 2015
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Alexander Mathews, Lexing Xie, Xuming He, SentiCap: Generating Image Descriptions with Sentiments. AAAI Conference on Artificial Intelligence (AAAI-16), USA
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Zeeshan Hayder, Xuming He, Mathieu Salzmann, Learning to Co-Generate Object Proposals with a Deep Structured Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
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Buyu Liu, Xuming He, Learning Dynamic Hierarchical Models for Anytime Scene Labeling. European Conference on Computer Vision (ECCV), 2016
