Timothy M. Hospedales

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Tao XiangUniversity of Surrey; Meta AIPatvirtintas el. paštas surrey.ac.uk
Yongxin YangQueen Mary University of LondonPatvirtintas el. paštas qmul.ac.uk
Yi-Zhe SongSketchX Lab, CVSSP, University of SurreyPatvirtintas el. paštas surrey.ac.uk
Da LiSamsung AI Centre CambridgePatvirtintas el. paštas samsung.com
Shaogang GongQueen Mary University of LondonPatvirtintas el. paštas qmul.ac.uk
Henry GoukAssistant Professor, University of EdinburghPatvirtintas el. paštas ed.ac.uk
Carl AllenÉcole Normale Supérieure, ParisPatvirtintas el. paštas ens.fr
Ivana BalaževićResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Yanwei FuFudan UniversityPatvirtintas el. paštas fudan.edu.cn
Li ZhangFudan UniversityPatvirtintas el. paštas fudan.edu.cn
Qian Yu (于茜)Beihang UniversityPatvirtintas el. paštas buaa.edu.cn
Guosheng Hu (胡国圣)University of BristolPatvirtintas el. paštas bristol.ac.uk
Ryan LayneQueen Mary University of LondonPatvirtintas el. paštas qmul.ac.uk
Chen Change LoyPresident's Chair Professor, MMLab@NTU, S-Lab, Nanyang Technological UniversityPatvirtintas el. paštas ntu.edu.sg
Philip TorrProfessor, University of OxfordPatvirtintas el. paštas eng.ox.ac.uk
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationPatvirtintas el. paštas westlake.edu.cn
Yonggang QiAssociate Professor, Beijing University of Posts and TelecommunicationsPatvirtintas el. paštas bupt.edu.cn
Josef KittlerUniversity of SurreyPatvirtintas el. paštas surrey.ac.uk
Yuan YAOHong Kong University of Science and TechnologyPatvirtintas el. paštas ust.hk
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKPatvirtintas el. paštas ed.ac.uk

Stebėti

Timothy M. Hospedales

Professor, University of Edinburgh; Samsung AI Research

Patvirtintas el. paštas ed.ac.uk - Pagrindinis puslapis

Artificial Intelligence Generative AI Computer Vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	5315	2018
Meta-learning in neural networks: A survey TM Hospedales, A Antoniou, P Micaelli, AJ Storkey IEEE transactions on pattern analysis and machine intelligence, 2021	2568	2021
Deep Mutual Learning Y Zhang, T Xiang, TM Hospedales, H Lu arXiv preprint arXiv:1706.00384, 2017	2150	2017
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	1708	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	1591	2018
TuckER: Tensor Factorization for Knowledge Graph Completion I Balažević, C Allen, TM Hospedales arXiv preprint arXiv:1901.09590, 2019	1077	2019
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	624	2015
Multi-level factorisation net for person re-identification X Chang, TM Hospedales, T Xiang CVPR 1, 2, 2018	615	2018
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	546	2019
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	530	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	530	2016
Learning to Generate Novel Domains for Domain Generalization K Zhou, Y Yang, T Hospedales, T Xiang European Conference on Computer Vision, 561-578, 2020	520	2020
Person Re-identification by Attributes. R Layne, TM Hospedales, S Gong, Q Mary BMVC 2 (3), 8, 2012	470	2012
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	457	2015
Deep Domain-Adversarial Image Generation for Domain Generalisation. K Zhou, Y Yang, TM Hospedales, T Xiang AAAI, 13025-13032, 2020	445	2020
Multi-relational Poincaré graph embeddings I Balazevic, C Allen, T Hospedales Advances in Neural Information Processing Systems, 4465-4475, 2019	408	2019
Self-Supervised Representation Learning: Introduction, advances, and challenges L Ericsson, H Gouk, CC Loy, TM Hospedales IEEE Signal Processing Magazine 39 (3), 42-62, 2022	390	2022
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	383	2017
How Well Do Self-Supervised Models Transfer? L Ericsson, H Gouk, TM Hospedales Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	327	2021
Deep Multi-task Representation Learning: A Tensor Factorisation Approach Y Yang, T Hospedales arXiv preprint arXiv:1605.06391, 2016	322	2016

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