Timothy M. Hospedales

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Tao XiangUniversity of Surrey; Meta AIVerified email at surrey.ac.uk
Yongxin YangQueen Mary University of LondonVerified email at qmul.ac.uk
Yi-Zhe SongSketchX Lab, CVSSP, University of SurreyVerified email at surrey.ac.uk
Shaogang GongQueen Mary University of LondonVerified email at qmul.ac.uk
Da LiSamsung AI Centre CambridgeVerified email at samsung.com
Henry GoukUniversity of EdinburghVerified email at ed.ac.uk
Carl AllenETH AI Centre, ETH ZürichVerified email at inf.ethz.ch
Yanwei FuFudan UniversityVerified email at fudan.edu.cn
Ivana BalaževićResearch Scientist, Google DeepMindVerified email at google.com
Guosheng Hu (胡国圣)AnyVisionVerified email at anyvision.co.uk
Li ZhangFudan UniversityVerified email at fudan.edu.cn
Qian Yu (于茜)Beihang UniversityVerified email at buaa.edu.cn
Ryan LayneQueen Mary University of LondonVerified email at qmul.ac.uk
Chen Change LoyMMLab@NTU, S-Lab, Nanyang Technological UniversityVerified email at ntu.edu.sg
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Yonggang QiAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Stan Z. Li (李子青)Westlake University & Chinese Academy of SciencesVerified email at westlake.edu.cn
Josef KittlerUniversity of SurreyVerified email at surrey.ac.uk
Yuan YAOHong Kong University of Science and TechnologyVerified email at ust.hk
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKVerified email at ed.ac.uk

Timothy M. Hospedales

Professor, University of Edinburgh; Samsung AI Research

Verified email at ed.ac.uk - Homepage

Computer Vision Machine Learning Deep Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning to compare: Relation network for few-shot learning F Sung, Y Yang, L Zhang, T Xiang, PHS Torr, TM Hospedales Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	3966	2018
Deep Mutual Learning Y Zhang, T Xiang, TM Hospedales, H Lu arXiv preprint arXiv:1706.00384, 2017	1486	2017
Meta-learning in neural networks: A survey TM Hospedales, A Antoniou, P Micaelli, AJ Storkey IEEE transactions on pattern analysis and machine intelligence, 2021	1380	2021
Deeper, Broader and Artier Domain Generalization D Li, Y Yang, YZ Song, TM Hospedales Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	1086	2017
Learning to generalize: Meta-learning for domain generalization D Li, Y Yang, YZ Song, TM Hospedales Thirty-Second AAAI Conference on Artificial Intelligence, 2018	1025	2018
TuckER: Tensor Factorization for Knowledge Graph Completion I Balažević, C Allen, TM Hospedales arXiv preprint arXiv:1901.09590, 2019	693	2019
Multi-level factorisation net for person re-identification X Chang, TM Hospedales, T Xiang CVPR 1, 2, 2018	554	2018
Transductive multi-view zero-shot learning Y Fu, TM Hospedales, T Xiang, S Gong IEEE transactions on pattern analysis and machine intelligence 37 (11), 2332 …, 2015	514	2015
Person Re-identification by Attributes. R Layne, TM Hospedales, S Gong, Q Mary BMVC 2 (3), 8, 2012	449	2012
Sketch me that shoe Q Yu, F Liu, YZ Song, T Xiang, TM Hospedales, CC Loy Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 799-807, 2016	441	2016
Sketch me that shoe Q Yu, F Liu, YZ Song, T Xiang, TM Hospedales, CC Loy Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	441	2016
Episodic training for domain generalization D Li, J Zhang, Y Yang, C Liu, YZ Song, TM Hospedales Proceedings of the IEEE International Conference on Computer Vision, 1446-1455, 2019	400	2019
When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition G Hu, Y Yang, D Yi, J Kittler, W Christmas, S Li, T Hospedales Proceedings of the IEEE International Conference on Computer Vision …, 2015	385	2015
Sketch-a-net: A deep neural network that beats humans Q Yu, Y Yang, F Liu, YZ Song, T Xiang, TM Hospedales International Journal of Computer Vision 122 (3), 411-425, 2017	324	2017
A markov clustering topic model for mining behaviour in video T Hospedales, S Gong, T Xiang 2009 IEEE 12th International Conference on Computer Vision, 1165-1172, 2009	299	2009
Learning to Generate Novel Domains for Domain Generalization K Zhou, Y Yang, T Hospedales, T Xiang European Conference on Computer Vision, 561-578, 2020	291	2020
Deep Multi-task Representation Learning: A Tensor Factorisation Approach Y Yang, T Hospedales arXiv preprint arXiv:1605.06391, 2016	280	2016
Transductive multi-view embedding for zero-shot recognition and annotation Y Fu, TM Hospedales, T Xiang, Z Fu, S Gong ECCV, 2014	277	2014
Multi-relational Poincaré graph embeddings I Balazevic, C Allen, T Hospedales Advances in Neural Information Processing Systems, 4465-4475, 2019	273	2019
Sketch-a-net that beats humans Q Yu, Y Yang, YZ Song, T Xiang, TM Hospedales Proceedings of the British Machine Vision Conference (BMVC), 7.1-7.12, 2015	271*	2015

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