List of Publications
Please also see my Google Scholar page for the full list of publications.
Technical Reports
Weakly Supervised Change Detection in a Pair of Images, [arXiv]
Salman H Khan, Xuming He, Mohammed Bennamoun, Fatih Porikli, Ferdous Sohel, Roberto Togneri
Arxiv, 2016
Semantic-Aware Depth Super-Resolution in Outdoor Scenes, [arXiv]
Miaomiao Liu, Mathieu Salzmann, Xuming He
Arxiv, 2016
Structured Depth Prediction in Challenging Monocular Video Sequences, [arXiv]
Miaomiao Liu, Mathieu Salzmann, Xuming He
Arxiv, 2015
Conference and Journal Publications
2016
Learning to Generate Object Proposals with Multi-modal Cues, [pdf]
Haoyang Zhang, Xuming He, Fatih Porikli
Asian Conference on Computer Vision (ACCV), 2016
Object-Aware Dictionary Learning with Deep Features, [pdf]
Yurui Xie, Fatih Porikli, Xuming He
Asian Conference on Computer Vision (ACCV), 2016
Learning Dynamic Hierarchical Models for Anytime Scene Labeling, [pdf] [arXiv]
Buyu Liu, Xuming He
European Conference on Computer Vision (ECCV), 2016
Building Scene Models by Completing and Hallucinating Depth and Semantics, [pdf]
Miaomiao Liu, Xuming He, Mathieu Salzmann
European Conference on Computer Vision (ECCV), 2016
Semantic Context and Depth-aware Object Proposal Generation, [pdf]
Haoyang Zhang, Xuming He, Fatih Porikli, Laurent Kneip
IEEE International Conference on Image Processing (ICIP), 2016
Learning to Co-Generate Object Proposals with a Deep Structured Network, [pdf]
Zeeshan Hayder, Xuming He, Mathieu Salzmann
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
SentiCap: Generating Image Descriptions with Sentiments, [pdf] [arXiv]
Alexander Mathews, Lexing Xie, Xuming He
AAAI Conference on Artificial Intelligence (AAAI-16), 2016
Contour Completion without Region Segmentation, [link] [pdf]
Yansheng Ming, Hongdong Li, Xuming He
IEEE Transactions on Image Processing, vol. 25, no. 8, pp 3597–3611, 2016
2015
Structural Kernel Learning for Large Scale Multiclass Object Co-Detection, [pdf]
Zeeshan Hayder, Xuming He, Mathieu Salzmann
International Conference on Computer Vision (ICCV), 2015
Studying Object Naming with Online Photos and Caption, [pdf]
Alexander Mathews, Lexing Xie, Xuming He
Multimedia COMMONS, A Workshop at ACM Multimedia, 2015
Multiclass Semantic Video Segmentation with Object-Level Active Inference, [pdf] [suppl zip]
Buyu Liu, Xuming He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Indoor Scene Structure Analysis for Single Image Depth Estimation, [pdf]
Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Separating Objects and Clutter in Indoor Scenes, [pdf] [suppl pdf]
Salman H. Khan, Xuming He, Mohammed Bennamoun, Ferdous Sohel, Roberto Togneri
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Choosing Basic-Level Concept Names using Visual and Language Context, [pdf] [suppl pdf]
Alexander Mathews, Lexing Xie, Xuming He
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
Multiclass Semantic Video Segmentation with Exemplar-based Object Reasoning, [pdf]
Buyu Liu, Xuming He, Stephen Gould
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces, [pdf]
Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation, [link] [pdf]
Heng Yang, Xuming He, Xuhui Jia, I. Patras
IEEE Transactions on Image Processing, vol.24, no.8, pp 2393–2403, 2015
2014
Object Co-Detection via Efficient Inference in a Fully-Connected CRF, [pdf]
Zeeshan Hayder, Mathieu Salzmann, Xuming He
European Conference on Computer Vision (ECCV), 2014
Superpixel Graph Label Transfer with Learned Distance Metric, [pdf]
Stephen Gould, Jiecheng Zhao, Xuming He, Yuhang Zhang
European Conference on Computer Vision (ECCV), 2014
An Exemplar-based CRF for Multi-instance Object Segmentation, [pdf]
Xuming He, Stephen Gould
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Discrete-Continuous Depth Estimation from a Single Image, [pdf]
Miaomiao Liu, Mathieu Salzmann, Xuming He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Joint Semantic and Geometric Segmentation of Videos with a Stage Model, [pdf]
Buyu Liu, Xuming He, Stephen Gould
IEEE Winter Conference on Applications of Computer Vision (WACV), 2014
Data-Driven Street Scene Layout Estimation for Distant Object Detection, [pdf]
Donghao Zhang, Xuming He, Hanxi Li
International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014
The Effectiveness of Prosthetic Fixation for Recognizing Faces in Natural Scenes, [poster pdf]
Janine Walker, Xuming He, Hanxi Li and Nick Barnes
Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), 2014
Winding Number Constrained Contour Detection, [link] [pdf]
Yansheng Ming, Hongdong Li, Xuming He
IEEE Transactions on Image Processing, vol. 24, no. 1, pp 68–79, 2014
Scene Understanding by Labeling Pixels, [link] [pdf]
Stephen Gould, Xuming He
Communications of the ACM, vol. 57, no. 11, pp 68–77, 2014
A New Theoretical Approach to Improving Face Recognition in Disorders of Central Vision: Face caricaturing, [link] [pdf]
Jessica Irons, Elinor McKone, Rachael Dumbleton, Nick Barnes, Xuming He, Jan Provis, Callin Ivanovici, Alisa Kwa
Journal of Vision, 14(2):12. 2014.
2013
Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning, [pdf]
Tao Wang, Xuming He, Nick Barnes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
Winding Number for Region-Boundary Consistent Salient Contour Extraction, [pdf]
Yansheng Ming, Hongdong Li, Xuming He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
Picture Tags and World Knowledge: Learning Tag Relations from Visual Semantic Sources, [pdf]
Lexing Xie, Xuming He
The 21st ACM International Conference on Multimedia (ACM MM), 2013
Symmetry Detection via Contour Grouping, [pdf]
Yansheng Ming, Hongdong Li, Xuming He
IEEE International Conference on Image Processing (ICIP), 2013
Glass Object Segmentation by Label Transfer on Joint Depth and Apearance Manifolds, [pdf]
Tao Wang, Xuming He, Nick Barnes
IEEE International Conference on Image Processing (ICIP), 2013
Tracking Large-scale Video Remix in Real-world Events, [link] [pdf]
Lexing Xie, Apostol Natsev, Xuming He, John Kender, Matthew Hill, John R Smith
IEEE Transactions on Multimedia, 15(6), 2013.
2012
Connected Contours: a Contour Completion Model That Respects Closure-Effect, [pdf]
Yansheng Ming, Hongdong Li, Xuming He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
Glass Object Localization by Joint Inference of Boundary and Depth, [pdf]
Tao Wang, Xuming He, Nick Barnes
International Conference on Pattern Recognition (ICPR), 2012
The Role of Vision Processing in Prosthetic Vision,
Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele Scott and Paulette Lieby
Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), 2012
An Face-based Visual Fixation System for Prosthetic Vision,
Xuming He, Junae Kim, Nick Barnes
Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), 2012
Probabilistic Models of Vision and Max-margin Methods, [link] [pdf]
Alan Yuille and Xuming He
Frontiers of Electrical and Electronic Engineering, 7(1), 94-106, 2012.
2011
Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data, [pdf]
Tao Wang, Xuming He, Chunhua Shen, Nick Barnes
International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
Face Detection and Tracking in Video To Facilitate Face Recognition in a Visual Prothesis, [poster pdf]
Xuming He, Chunhua Shen, Nick Barnes
Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO), 2011
2010
A Unified Model of Short-range and Long-range Motion Perception, [pdf]
Shuang Wu, Xuming He, Hongjing Lu, and Alan Yuille
Annual Conference on Neural Information Processing Systems (NIPS), 2010
2008
Learning Hybrid Models for Image Annotation with Partially Labeled Data, [pdf]
Xuming He, and Richard S. Zemel
Annual Conference on Neural Information Processing Systems (NIPS), 2008
Latent Topic Random Fields: Learning Using a Taxonomy of Labels, [pdf (with Appendix)]
Xuming He, and Richard S. Zemel
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
Learning Flexible Features for Conditional Random Fields, [link] [pdf]
Liam Stewart, Xuming He, Richard S. Zemel
IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(8), 1415-1426, 2008.
2007 —
Topological Map Learning from Outdoor Image Sequences, [link] [pdf]
Xuming He, Richard Zemel, and Volodymyr Mnih
Journal of Field Robotics, 23, 1091-1104, 2007.
Learning and Incorporating Top-down Cues in Image Segmentation, [pdf]
Xuming He, Richard Zemel, and Deb Ray
European Conference on Computer Vision (ECCV), 2006.
Learning Landmarks for Localization via Manifolds,
Xuming He, Richard Zemel, and Volodymyr Mnih
NIPS Workshop on Machine Learning Based Robotics in Unstructured Environments, 2005
Multiscale Conditional Random Fields for Image Labelling, [pdf]
Xuming He, Richard Zemel, and Miguel Carreira-Perpinan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004
Ph.D. Thesis
Xuming He,
Learning Structured Prediction Models for Image Labeling,
PhD thesis, Department of Computer Science, University of Toronto, 2008
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