Xuming He

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Nick BarnesProfessor, Australian National UniversityVerified email at anu.edu.au
Mathieu SalzmannEPFLVerified email at epfl.ch
Songyang ZhangShanghai AI LaboratoryVerified email at pjlab.org.cn
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Miaomiao LiuAustralian National UniversityVerified email at anu.edu.au
Shipeng YanShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Lexing XieAustralian National UniversityVerified email at anu.edu.au
Elinor McKoneAustralian National UniversityVerified email at anu.edu.au
Yongfei LiuShanghaiTechVerified email at shanghaitech.edu.cn
Alexander MathewsAustralian National UniversityVerified email at anu.edu.au
Bo WanShanghaiTech University; KU LeuvenVerified email at student.kuleuven.be
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Tao WangMinjiang UniversityVerified email at mju.edu.cn
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
Mohammed BennamounThe University of Western AustraliaVerified email at uwa.edu.au
Miguel Á. Carreira-PerpiñánProfessor of Computer Science, University of California, MercedVerified email at ucmerced.edu
Desen ZhouBaidu Inc.Verified email at baidu.com
Zeeshan HayderAustralian National University, NICTA/Data61/CSIROVerified email at anu.edu.au
Hongdong LiProfessor of Computer Vision and Learning, Australian National UniversityVerified email at anu.edu.au
Rongjie LiMaster student, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn

Xuming He

ShanghaiTech University

Verified email at shanghaitech.edu.cn - Homepage

Machine Learning Computer Vision Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multiscale conditional random fields for image labeling X He, RS Zemel, MA Carreira-Perpinán Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004	1241	2004
Discrete-continuous depth estimation from a single image M Liu, M Salzmann, X He Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	401	2014
Learning and incorporating top-down cues in image segmentation X He, RS Zemel, D Ray European conference on computer vision, 338-351, 2006	256	2006
Senticap: Generating image descriptions with sentiments A Mathews, L Xie, X He Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	162	2016
Boundary-aware instance segmentation Z Hayder, X He, M Salzmann Proceedings of the IEEE conference on computer vision and pattern …, 2017	150	2017
Pose-aware multi-level feature network for human object interaction detection B Wan, D Zhou, Y Liu, R Li, X He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	127	2019
Indoor scene structure analysis for single image depth estimation W Zhuo, M Salzmann, X He, M Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	127	2015
Forest change detection in incomplete satellite images with deep neural networks SH Khan, X He, F Porikli, M Bennamoun IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5407-5423, 2017	126	2017
Part-aware prototype network for few-shot semantic segmentation Y Liu, X Zhang, S Zhang, X He European Conference on Computer Vision, 142-158, 2020	88	2020
Semstyle: Learning to generate stylised image captions using unaligned text A Mathews, L Xie, X He Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	87	2018
Multiclass Semantic Video Segmentation with Object-level Active Inference B Liu, X He CVPR, 2015	80	2015
Shape-aware semi-supervised 3D semantic segmentation for medical images S Li, C Zhang, X He International Conference on Medical Image Computing and Computer-Assisted …, 2020	77	2020
Robust face alignment under occlusion via regional predictive power estimation H Yang, X He, X Jia, I Patras IEEE Transactions on Image Processing 24 (8), 2393-2403, 2015	74	2015
Learning hybrid models for image annotation with partially labeled data X He, R Zemel Advances in Neural Information Processing Systems 21, 2008	64	2008
Occlusion boundary detection using pseudo-depth X He, A Yuille European Conference on Computer Vision, 539-552, 2010	63	2010
Latentgnn: Learning efficient non-local relations for visual recognition S Zhang, X He, S Yan International Conference on Machine Learning, 7374-7383, 2019	55	2019
Geometry-aware deep network for single-image novel view synthesis M Liu, X He, M Salzmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	55	2018
Superpixel graph label transfer with learned distance metric S Gould, J Zhao, X He, Y Zhang European Conference on Computer Vision, 632-647, 2014	54	2014
Learning deep structured network for weakly supervised change detection SH Khan, X He, F Porikli, M Bennamoun, F Sohel, R Togneri arXiv preprint arXiv:1606.02009, 2016	51*	2016
Learning cross-modal context graph for visual grounding Y Liu, B Wan, X Zhu, X He Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11645 …, 2020	49	2020

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