Xuming He

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Senior Research Scientist
Computer Vision Research Group, Data61, CSIRO
Honorary Senior Lecturer
College of Electrical & Computer Science, ANU

Address

7 London Circuit, Tower A, Level 1 (L1-23)
Canberra, ACT 2601, Australia

Contact

Phone: +61 2 62183782
Email: hexumi at gmail

I have joined in the School of Information Science and Technology at ShanghaiTech as an Associate Professor in Jan 2017. My new webpage is here.

News

  • [11/2016] Congratulations to Buyu Liu and Tao Wang for successfully completing their PhDs.

  • [08/2016] Two papers on object segmentation/representation accepted in ACCV 16.

  • [07/2016] Two papers on scene parsing accepted in ECCV 16.

  • [03/2016] One paper on object proposal generation accepted in CVPR 16.

Research Interest

  • Image parsing and semantic segmentation

  • 3D object and scene representations

  • Learning and inference in undirected graphical models

  • Understanding human vision system

  • Image, language and knowledge representation

Selected Publications

  • Buyu Liu, Xuming He, Multiclass Semantic Video Segmentation With Object-Level Active Inference, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 [pdf] [suppl zip]

  • Xuming He, Stephen Gould, An Exemplar-based CRF for Multi-instance Object Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 [pdf]

  • Yansheng Ming, Hongdong Li, Xuming He, Connected Contours: a Contour Completion Model That Respects Closure-Effect, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012 [pdf]

  • Shuang Wu, Xuming He, Hongjing Lu, and Alan Yuille, A Unified Model of Short-range and Long-range Motion Perception, Annual Conference on Neural Information Processing Systems (NIPS), 2010, Vancouver, Canada [pdf]

  • Xuming He, and Richard S. Zemel, Learning Hybrid Models for Image Annotation with Partially Labeled Data, Annual Conference on Neural Information Processing Systems (NIPS), 2008 [pdf]

  • Xuming He, Richard Zemel, and Miguel Carreira-Perpinan, Multiscale Conditional Random Fields for Image Labelling, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004 [pdf]