Xuming He, Associate Professor

Xuming He, Associate Professor

Tel:  (021) 20685378
Email: hexm@@shanghaitech.edu.cn
Office: Room 1A-304D, SIST Building
Major: CS
Website: https://xmhe.bitbucket.io/
Education: Ph.D., University of Toronto, Canada

RESEARCH INTERESTS

  • Computer Vision: Scene understanding, Semantic segmentation, Object detection, Vision and language

  • Machine Learning: Graphical models, Neural networks, Weakly-supervised and meta-learning, Approximate inference


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 (machine learning group) 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 has been a Senior Researcher since 2013. 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 will join in ShanghaiTech as an associate professor, PI in December, 2016.

His 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.


SELECTED PUBLICATIONS

  1. Shipeng Yan, Songyang Zhang, Xuming He, “A Dual Attention Network with Semantic Embedding for Few-shot Learning”, in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), USA, 2019.

  2. Alexander Mathews, Lexing Xie, Xuming He, “SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  3. Zeeshan Hayder, Xuming He, Mathieu Salzmann, “Boundary-aware Instance Segmentation”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  4. Buyu Liu, Xuming He, “Multiclass Semantic Video Segmentation with Object-Level Active Inference”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

  5. Xuming He, Stephen Gould, “An Exemplar-based CRF for Multi-instance Object Segmentation”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), USA, 2014.

  6. Xuming He, Richard S. Zemel, “Learning Hybrid Models for Image Annotation with Partially Labeled Data”, in Proceedings of Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 2009.

  7. Xuming He, Richard Zemel, Miguel Carreira-Perpinan, “Multiscale Conditional Random Fields for Image Labeling”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington DC, USA, 2004.