Philip H. S. Torr
Philip H. S. Torr has 3 papers in our library, in 2023–2025, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Biqing Qi, Bowen Zhou, Hui Li.
OpenAlex · ORCID · Wikidata · h-index 92 · 476 works · 54,445 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 549 times in our library · 54 more in our library without a page yet · ⭐ Paper Stars ranking: #5247
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workSignal Processing · 1 work
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workTokenization & segmentation · 1 workDialogue systems · 1 workSpeech & spoken language · 1 work
💡 Concepts 2Key ideas and methods explained on our concept pages.Subword tokenization · 1 workTokenization · 1 work
Works by year
2020s
Papers
- Language Model Tokenizers Introduce Unfairness Between Languages (2023 · 206 citations)
The authors examine whether language model tokenizers treat different languages equally. They show that inequality arises even before the model receives the text: already at the stage where the text is split into tokens. To compare languages, they propose the notion of tokenizer parity. The same sentence is taken in… - Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System (2025 · 40 citations)
Most LLM tools for automated research ideation use a single agent or rely on artificial collaboration setups, such as invented researcher profiles or synthetic co-author networks. - Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models (2025 · 12 citations)
Large Audio-Language Models (LALMs) such as GPT-4o can now hold spoken conversations directly with users. Until this work, however, no benchmark tested how well they understand open-ended audio dialogue. Earlier evaluations covered basic audio tasks, audio QA driven by text instructions, or general-purpose chat only.
All works
- Point Transformer ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHengshuang Zhao et al.2021 · 2,532 citations
- MLESAC: A New Robust Estimator with Application to Estimating Image Geometry ↗Computer Vision and Image Understanding · no summary yetPhilip H. S. Torr, Andrew Zisserman1999 · 2,400 citations
- Staple: Complementary Learners for Real-Time Tracking ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLuca Bertinetto et al.2016 · 1,791 citations
- Fast Online Object Tracking and Segmentation: A Unifying Approach ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetQiang Wang et al.2019 · 1,513 citations
- Deeply Supervised Salient Object Detection with Short Connections ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetQibin Hou et al.2017 · 1,175 citations
- DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetNamhoon Lee et al.2017 · 1,085 citations
- Struck: Structured Output Tracking with Kernels ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetSam Hare et al.2015 · 998 citations
- GA-Net: Guided Aggregation Net for End-To-End Stereo Matching ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFeihu Zhang et al.2019 · 835 citations
- 3D model acquisition from extended image sequences ↗Lecture notes in computer science · no summary yetPaul A. Beardsley, P. Torr, Andrew Zisserman1996 · 388 citations
- Managing extreme AI risks amid rapid progress ↗Science · no summary yetYoshua Bengio et al.2024 · 382 citations
- OBJ CUT ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetManish Kumar, Philip H. S. Torr, Andrew Zisserman2005 · 329 citations
- PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZitong Yu et al.2022 · 301 citations
- Hand detection using multiple proposals ↗British Machine Vision Conference (BMVC) · no summary yetArpit Mittal, Andrew Zisserman, Philip H. S. Torr2011 · 269 citations
- Learning feed-forward one-shot learners ↗neural information processing systems · no summary yetLuca Bertinetto et al.2016 · 256 citations
- Pixelwise Instance Segmentation with a Dynamically Instantiated Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAnurag Arnab, Philip H. S. Torr2017 · 228 citations
- Language Model Tokenizers Introduce Unfairness Between LanguagesConference on Neural Information Processing Systems (NeurIPS)Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 206 citations
- Robust parameterization and computation of the trifocal tensor ↗Image and Vision Computing · no summary yetPhilip H. S. Torr, Andrew Zisserman1997 · 206 citations
- Using Hindsight to Anchor Past Knowledge in Continual Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetArslan Chaudhry et al.2021 · 200 citations
- End-to-End Representation Learning for Correlation Filter Based Tracking ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJack Valmadre et al.2017 · 198 citations
- Robust computation and parametrization of multiple view relations ↗International Conference on Computer Vision · no summary yetPhilip H. S. Torr, Andrew Zisserman1998 · 171 citations
- The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences ↗International Journal of Computer Vision · no summary yetPhilip H. S. Torr, Andrew W Fitzgibbon, Andrew Zisserman1999 · 156 citations
- Exploiting uncertainty in regression forests for accurate camera relocalization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJulien Valentin et al.2015 · 154 citations
- MOSE: A New Dataset for Video Object Segmentation in Complex Scenes ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHenghui Ding et al.2023 · 148 citations
- Robust Detection of Degenerate Configurations while Estimating the Fundamental Matrix ↗Computer Vision and Image Understanding · no summary yetPhilip H. S. Torr, Andrew Zisserman, Stephen J. Maybank1997 · 121 citations
- Deep Deterministic Uncertainty: A New Simple Baseline ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJishnu Mukhoti et al.2023 · 118 citations
See all 57 works by Philip H. S. Torr →
Co-authors here
Venues
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×16
- Lecture notes in computer science ×5
- IEEE/CVF International Conference on Computer Vision (ICCV) ×4
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2025 ×2
- British Machine Vision Conference (BMVC) ×3
- IEEE International Conference on Computer Vision (ICCV) ×3
- International Conference on Computer Vision ×3
- Computer Vision and Image Understanding ×2
- IEEE Transactions on Pattern Analysis and Machine Intelligence ×2
- International Journal of Computer Vision ×2
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023
- Image and Vision Computing
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