Xuming He

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Nick BarnesProfessor, Australian National UniversityVerified email at anu.edu.au
Mathieu SalzmannEPFLVerified email at epfl.ch
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Songyang ZhangShanghaiTech University, Beihang UniversityVerified email at shanghaitech.edu.cn
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
Stephen GouldProfessor at Australian National University | Scholar at AmazonVerified email at anu.edu.au
Bo WanShanghaiTech University; KU LeuvenVerified email at student.kuleuven.be
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
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
Buyu LiuNEC Labs. AmericaVerified email at nec-labs.com

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	1233	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	388	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	155	2016
Boundary-aware instance segmentation Z Hayder, X He, M Salzmann Proceedings of the IEEE conference on computer vision and pattern …, 2017	149	2017
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	128	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	120	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	116	2019
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	85	2018
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	83	2020
Multiclass Semantic Video Segmentation with Object-level Active Inference B Liu, X He CVPR, 2015	81	2015
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	72	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	68	2020
Occlusion boundary detection using pseudo-depth X He, A Yuille European Conference on Computer Vision, 539-552, 2010	65	2010
Learning hybrid models for image annotation with partially labeled data X He, R Zemel Advances in Neural Information Processing Systems 21, 2008	64	2008
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	54	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	50*	2016
Latentgnn: Learning efficient non-local relations for visual recognition S Zhang, X He, S Yan International Conference on Machine Learning, 7374-7383, 2019	49	2019
An exemplar-based CRF for multi-instance object segmentation X He, S Gould Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	48	2014

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