Timothy M. Hospedales

Author

Also Known As

Chen Loy, Guo, Yanwen, Hospedales, Timothy, Hospedales, Timothy M., Iain Murray, Li, Da, T. M. Hospedales, T.M. Hospedales, Timothy Hospedales, Timothy M Hospedales

377

Publications

25.4K

Citations

H-Index

164

Concepts

All Affiliations

University of Edinburgh Queen Mary University of London University of Surrey Beijing University of Posts and Telecommunications Samsung (United Kingdom)

About

Timothy M. Hospedales is an author at University of Edinburgh specializing in engineering, deep learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	55	118	16K
2	Language Studies	4	4	299
3	Business	3	3	54
4	Education	3	3	1.8K
5	Health Sciences	1	1	15

Timothy M. Hospedales

146

Publications

17K

Citations

H-Index

Page 1

	Year	Citations
2012 IEEE Conference on Computer Vision and Pattern Recognition Claudia Loy, Timothy M. Hospedales, Tianyu Xiang, Machine VisionImage AnalysisEngineeringPattern RecognitionComputer Science	2012	1.9K
Deep Mutual Learning Ying Zhang, Tao Xiang, Timothy M. Hospedales, Artificial IntelligenceEngineeringMachine LearningData ScienceKnowledge Distillation	2018	1.7K
Deeper, Broader and Artier Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Artificial IntelligenceFew-shot LearningConvolutional Neural NetworkEngineeringMachine Learning	2017	1.2K
Learning to Generalize: Meta-Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Proceedings of the AAAI Conference on Artificial Intelligence Natural Language ProcessingFew-shot LearningArtificial IntelligenceTarget DomainEngineering	2018	1.2K
Multi-level Factorisation Net for Person Re-identification Xiaobin Chang, Timothy M. Hospedales, Tao Xiang Convolutional Neural NetworkMulti-level Factorisation NetMachine LearningEngineeringBiometrics	2018	556
Transductive Multi-View Zero-Shot Learning Yanwei Fu, Timothy M. Hospedales, Tao Xiang, IEEE Transactions on Pattern Analysis and Machine Intelligence Natural Language ProcessingFew-shot LearningTarget DatasetMachine VisionImage Analysis	2015	540
Episodic Training for Domain Generalization Da Li, Jianshu Zhang, Yongxin Yang, Few-shot LearningStructured PredictionConvolutional Neural NetworkEngineeringMachine Learning	2019	430
Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, EngineeringMachine LearningDeep Tripletranking ModelImage RetrievalSketch-based Modeling	2016	427
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceDomain GeneralisationImage AnalysisMachine LearningData Science	2020	370
Self-Supervised Representation Learning: Introduction, advances, and challenges Linus Ericsson, Henry Gouk, Chen Change Loy, IEEE Signal Processing Magazine	2022	358

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