--- title: "Timothy M. Hospedales · Samsung — author profile and papers" description: "Timothy M. Hospedales, Samsung: 2 papers on Elamur Research (2019–2024), h-index 63 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/timothy-m-hospedales/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/timothy-m-hospedales/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Timothy M. Hospedales # Timothy M. Hospedales Timothy M. Hospedales has 2 papers in our library, in 2019–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Ivana Balažević](https://md.research.elamur.ai/free/en/authors/ivana-balazevic/), [Ondrej Bohdal](https://md.research.elamur.ai/free/en/authors/ondrej-bohdal/). 2 papers in our library · 2019–2024 [OpenAlex](https://openalex.org/A5087823932) · [ORCID](https://orcid.org/0000-0003-4867-7486) · [Wikidata](https://www.wikidata.org/wiki/Q59648161) · [**h-index 63**](https://openalex.org/authors/A5087823932) · [352 works](https://openalex.org/works?filter=author.id:A5087823932) · [19,483 citations](https://openalex.org/works?filter=author.id:A5087823932&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/timothy-m-hospedales/#papers) · [🔗 Cited 246 times in our library](https://md.research.elamur.ai/free/en/authors/timothy-m-hospedales/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2997](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2997) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Timothy+M.+Hospedales) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Timothy+M.+Hospedales) · [dblp](https://dblp.org/search?q=Timothy+M.+Hospedales) · [ACL Anthology](https://aclanthology.org/search/?q=Timothy+M.+Hospedales) ## Affiliations [🎓**University of Edinburgh** Edinburgh · United Kingdom 2007–2026 · 177 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🏢**Samsung** Chertsey · United Kingdom 2021–2026 · 13 papers*current*](https://ror.org/01w6gjq94) · [🏢**Samsung** Seoul · South Korea 2020–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/samsung-south-korea/) · [🎓**Queen Mary University of London** London · United Kingdom 2009–2024 · 64 papers](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/) · [🎓**University of Surrey** Guildford · United Kingdom 2019–2023 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-surrey/) · [🎓**University of London** London · United Kingdom 2009–2016 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-london/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/computational-mathematics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Knowledge graph · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-graph/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/timothy-m-hospedales/year/2024/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/timothy-m-hospedales/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[TuckER: Tensor Factorization for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/balazevic-2019-tucker-tensor-factorization-knowledge-graph/)** *(2019 · 799 citations)* Knowledge graphs store facts as subject–relation–object triples, but they cover only a fraction of what is true. 2. **[Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models](https://md.research.elamur.ai/free/en/papers/zong-2024-safety-fine-tuning-almost-no/)** *(2024 · 60 citations)* Vision large language models (VLLMs) are usually built by fine-tuning an already safety-aligned LLM on vision-language instruction data. ## All works 11 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**TuckER: Tensor Factorization for Knowledge Graph Completion arXiv:1901.09590**Ivana Balažević, Carl Allen, Timothy M. Hospedales*2019 · 799 citations*](https://md.research.elamur.ai/free/en/papers/balazevic-2019-tucker-tensor-factorization-knowledge-graph/) 2. **[Episodic Training for Domain Generalization ↗](https://doi.org/10.1109/iccv.2019.00153) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Da Li et al.*2019 · 442 citations* 3. **[Deep Domain-Adversarial Image Generation for Domain Generalisation ↗](https://doi.org/10.1609/aaai.v34i07.7003) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Kaiyang Zhou et al.*2020 · 393 citations* 4. **[Transferring a semantic representation for person re-identification and search ↗](https://doi.org/10.1109/cvpr.2015.7299046) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang*2015 · 193 citations* 5. **[Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference ↗](https://doi.org/10.1109/cvpr52688.2022.00886) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Shell Xu Hu et al.*2022 · 190 citations* 6. **[Robust Person Re-Identification by Modelling Feature Uncertainty ↗](https://doi.org/10.1109/iccv.2019.00064) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Tianyuan Yu et al.*2019 · 143 citations* 7. **[Generalising Fine-Grained Sketch-Based Image Retrieval ↗](https://doi.org/10.1109/cvpr.2019.00077) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kaiyue Pang et al.*2019 · 110 citations* 8. **[ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching ↗](https://doi.org/10.1109/cvpr.2016.601) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Shuxin Ouyang et al.*2016 · 67 citations* 9. [**Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models arXiv:2402.02207**Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, et al.*2024 · 60 citations*](https://md.research.elamur.ai/free/en/papers/zong-2024-safety-fine-tuning-almost-no/) 10. **[Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations ↗](https://arxiv.org/abs/2310.01651) arXiv:2310.01651 · no summary yet**Yongshuo Zong et al.*2023 · 24 citations* 11. **[MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in VideoLMs for Multimodal Sarcasm Detection. ↗](https://aclanthology.org/2026.lrec-1.769/) Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yet**Anisha Saha et al.*2026* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Ivana Balažević](https://md.research.elamur.ai/free/en/authors/ivana-balazevic/) - [Ondrej Bohdal](https://md.research.elamur.ai/free/en/authors/ondrej-bohdal/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×4 - IEEE/CVF International Conference on Computer Vision (ICCV) ×2 - Proceedings of the AAAI Conference on Artificial Intelligence - Proceedings of the Fifteenth Language Resources and Evaluation Conference ## Cited by Papers of our library cite their works 246 times (of the 149,439 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/timothy-m-hospedales/cited-by/). Updated 2 November 2026