Xuming He

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Associate Professor

School of Information Science and Technology (SIST)
ShanghaiTech University

Address

Room 1A-304D, SIST Building
393 Middle Huaxia Road
Pudong, Shanghai, 201210, China

Contact

Phone: +86 21 20685378
Email: hexm at shanghaitech edu cn

News

  • [02/2019] One paper accepted in AAAI 2019.

  • [01/2019] Invited seminar in the winter camp organized by Google China.

  • [12/2018] Invited talk in ACCV Vision and Language workshop.

  • [07/2018] Received Shanghai NSF Grant 2018-2020.

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

Prospective students

  • Prospective graduate students: please check admission website. 学科方向: 计算机科学与技术.

  • We also have multiple research projects (minimal 6 months) for undergrad students in SIST.

Selected Publications

  • Shipeng Yan, Songyang Zhang, Xuming He. A Dual Attention Network with Semantic Embedding for Few-shot Learning, AAAI Conference on Artificial Intelligence (AAAI),2019 [pdf]

  • Alexander Mathews, Lexing Xie, Xuming He. SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [pdf]

  • Zeeshan Hayder, Xuming He, Mathieu Salzmann. Boundary-aware Instance Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [pdf]

  • 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]

  • 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]