2026 Timothy M. Hospedales: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	76	1323	1282	77	76	285	28698

Research.com Recognitions

2025 - Research.com Computer Science in United Kingdom Leader Award
2022 - Research.com Computer Science in United Kingdom Leader Award
2018 - IAPR P. Zamperoni Award Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice

Overview

Timothy M. Hospedales is affiliated with the University of Edinburgh in the United Kingdom and has produced a substantial body of research in computer science, focusing primarily on artificial intelligence and related subfields.

They have authored numerous publications with strong emphasis on the following topics:

Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Machine Learning and Data Classification
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques
Topic Modeling
Human Pose and Action Recognition

Their research spans the broader field of computer science with notable focus on:

Artificial Intelligence
Computer Vision and Pattern Recognition
Radiology, Nuclear Medicine and Imaging
Signal Processing
Finance

Hospedales has contributed to multiple venues and journals, frequently publishing in:

arXiv (Cornell University)
SSRN Electronic Journal
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Image Processing
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Their recent papers include:

"Deep Domain-Adversarial Image Generation for Domain Generalisation" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
"Self-Supervised Representation Learning: Introduction, advances, and challenges" (2022), IEEE Signal Processing Magazine
"Meta-Learning in Neural Networks: A Survey" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
"Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent co-authors collaborating with Hospedales include:

Yongxin Yang
Da Li
Yi-Zhe Song
Tao Xiang
Henry Gouk

They have authored a book titled Visual Domain Adaptation in the Deep Learning Era (2022), published by Morgan & Claypool Publishers.

Hospedales has been recognized with awards such as the IAPR P. Zamperoni Award in 2018 for work on dynamic ensemble active learning techniques.

Best Publications

Learning to Compare: Relation Network for Few-Shot Learning

Flood Sung;Yongxin Yang;Li Zhang;Tao Xiang

4735
Citations
Meta-Learning in Neural Networks: A Survey.

Timothy M Hospedales;Antreas Antoniou;Paul Micaelli;Amos J. Storkey

1919
Citations
Deep Mutual Learning

Ying Zhang;Tao Xiang;Timothy M. Hospedales;Huchuan Lu

1713
Citations
Learning to Generalize: Meta-Learning for Domain Generalization

Da Li;Yongxin Yang;Yi-Zhe Song;Timothy M. Hospedales

1273
Citations
Deeper, Broader and Artier Domain Generalization

Da Li;Yongxin Yang;Yi-Zhe Song;Timothy M. Hospedales

1206
Citations
TuckER: Tensor Factorization for Knowledge Graph Completion.

Ivana Balazevic;Carl Allen;Timothy M. Hospedales

755
Citations
TuckER: Tensor Factorization for Knowledge Graph Completion.

Ivana Balažević;Carl Allen;Timothy M. Hospedales

624
Citations
Transductive Multi-View Zero-Shot Learning

Yanwei Fu;Timothy M. Hospedales;Tao Xiang;Shaogang Gong

584
Citations
Multi-level Factorisation Net for Person Re-identification

Xiaobin Chang;Timothy M. Hospedales;Tao Xiang

560
Citations
Person Re-identification by Attributes.

Ryan Layne;Timothy M. Hospedales;Shaogang Gong

454
Citations
Sketch Me That Shoe

Qian Yu;Feng Liu;Yi-Zhe Song;Tao Xiang

454
Citations
Episodic Training for Domain Generalization

Da Li;Jianshu Zhang;Yongxin Yang;Cong Liu

450
Citations
Learning to Generate Novel Domains for Domain Generalization

Kaiyang Zhou;Yongxin Yang;Timothy M. Hospedales;Tao Xiang

384
Citations
When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition

Guosheng Hu;Yongxin Yang;Dong Yi;Josef Kittler

379
Citations
Deep Domain-Adversarial Image Generation for Domain Generalisation

Kaiyang Zhou;Yongxin Yang;Timothy M. Hospedales;Tao Xiang

368
Citations
Self-Supervised Representation Learning: Introduction, Advances and Challenges.

Linus Ericsson;Henry Gouk;Chen Change Loy;Timothy M. Hospedales

351
Citations
Sketch-a-Net: A Deep Neural Network that Beats Humans

Qian Yu;Yongxin Yang;Feng Liu;Yi-Zhe Song

344
Citations
A Markov Clustering Topic Model for mining behaviour in video

Timothy Hospedales;Shaogang Gong;Tao Xiang

305
Citations
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval

Jifei Song;Qian Yu;Yi-Zhe Song;Tao Xiang

270
Citations
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation

Yanwei Fu;Timothy M. Hospedales;Tao Xiang;Zhenyong Fu

268
Citations
Transferring a semantic representation for person re-identification and search

Zhiyuan Shi;Timothy M. Hospedales;Tao Xiang

243
Citations
Multi-relational Poincaré Graph Embeddings

Ivana Balazevic;Carl Allen;Timothy M. Hospedales

95
Citations

Frequent Co-Authors

Yongxin Yang Queen Mary University of London

Yi-Zhe Song University of Surrey

Shaogang Gong Queen Mary University of London

Yanwei Fu Fudan University

Peng Xu Chinese Academy of Sciences

Changyin Sun Southeast University

Sethu Vijayakumar University of Edinburgh

Zhanyu Ma Beijing University of Posts and Telecommunications

Jun Guo Beijing University of Posts and Telecommunications

Chen Change Loy Nanyang Technological University

External Links

Personal website of Timothy M. Hospedales Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to various online degrees and career options. Many students seek the cheapest online bachelor degree programs to minimize debt while maximizing learning flexibility. These online pathways can serve as stepping stones, allowing learners to balance education with work or personal commitments.

Those interested in specialized technical fields might consider enrolling in a cheapest engineering degree online to gain practical skills aligned with industry demand. For professionals aiming to broaden their management expertise, pursuing an executive online MBA can support career advancement in both technical and leadership roles.

Additionally, interdisciplinary fields such as information management offer unique opportunities. For example, a library science masters degree online can lead to careers in data organization, archiving, and digital resource management, complementing computer science skills. Each of these pathways provides accessible, affordable, and versatile learning options for students and professionals alike.