Learning Grimaces by Watching TV. - Samuel Albanie; Andrea Vedaldi (BMVC, 2016)

Stopping GAN Violence: Generative Unadversarial Networks. - Samuel Albanie; Sébastien Ehrhardt; João F. Henriques (CoRR, 2017)

Unknowable Manipulators: Social Network Curator Algorithms. - Samuel Albanie; Hillary Shakespeare; Tom Gunter (CoRR, 2017)

Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching. - Arsha Nagrani; Samuel Albanie; Andrew Zisserman (CVPR, 2018)

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. - David Novotný; Samuel Albanie; Diane Larlus; Andrea Vedaldi (CVPR, 2018)

Learnable PINs: Cross-modal Embeddings for Person Identity. - Arsha Nagrani; Samuel Albanie; Andrew Zisserman (ECCV (13), 2018)

Semi-convolutional Operators for Instance Segmentation. - David Novotný; Samuel Albanie; Diane Larlus; Andrea Vedaldi (ECCV (1), 2018)

Emotion Recognition in Speech using Cross-Modal Transfer in the Wild. - Samuel Albanie; Arsha Nagrani; Andrea Vedaldi; Andrew Zisserman (ACM Multimedia, 2018)

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. - Jie Hu 019; Li Shen 005; Samuel Albanie; Gang Sun 005; Andrea Vedaldi (NeurIPS, 2018)

Substitute Teacher Networks: Learning with Almost No Supervision. - Samuel Albanie; James Thewlis; João F. Henriques (CoRR, 2018)

Use What You Have: Video retrieval using representations from collaborative experts. - Yang Liu 105; Samuel Albanie; Arsha Nagrani; Andrew Zisserman (BMVC, 2019)

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. - João F. Henriques; Sébastien Ehrhardt; Samuel Albanie; Andrea Vedaldi (ICCV, 2019)

Unsupervised Learning of Landmarks by Descriptor Vector Exchange. - James Thewlis; Samuel Albanie; Hakan Bilen; Andrea Vedaldi (ICCV, 2019)

Deep Industrial Espionage. - Samuel Albanie; James Thewlis; Sébastien Ehrhardt; João F. Henriques (CoRR, 2019)

Watch, Read and Lookup: Learning to Spot Signs from Multiple Supervisors. - Liliane Momeni; Gül Varol; Samuel Albanie; Triantafyllos Afouras; Andrew Zisserman (ACCV (6), 2020)

Seeing wake words: Audio-visual Keyword Spotting. - Liliane Momeni; Triantafyllos Afouras; Themos Stafylakis; Samuel Albanie; Andrew Zisserman (BMVC, 2020)

BSL-1K: Scaling Up Co-articulated Sign Language Recognition Using Mouthing Cues. - Samuel Albanie; Gül Varol; Liliane Momeni; Triantafyllos Afouras; Joon Son Chung; Neil Fox; Andrew Zisserman (ECCV (11), 2020)

SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop. - Necati Cihan Camgöz; Gül Varol; Samuel Albanie; Neil Fox; Richard Bowden; Andrew Zisserman; Kearsy Cormier (ECCV Workshops (2), 2020)

Disentangled Speech Embeddings Using Cross-Modal Self-Supervision. - Arsha Nagrani; Joon Son Chung; Samuel Albanie; Andrew Zisserman (ICASSP, 2020)

Preface. - Luca Bertinetto; João F. Henriques; Samuel Albanie; Michela Paganini; Gül Varol (Preregister@NeurIPS, 2020)

State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication. - Samuel Albanie; Jaime Thewmore; Robert McCraith; João F. Henriques (CoRR, 2020)

The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). - Samuel Albanie; Yang Liu 105; Arsha Nagrani; Antoine Miech; Ernesto Coto; Ivan Laptev; Rahul Sukthankar; Bernard Ghanem; Andrew Zisserman; Valentin Gabeur; Chen Sun 002; Karteek Alahari; et al. (CoRR, 2020)

Explaining the Adaptive Generalisation Gap. - Diego Granziol; Samuel Albanie; Xingchen Wan; Stephen J. Roberts (CoRR, 2020)

QuerYD: A video dataset with high-quality textual and audio narrations. - Andreea-Maria Oncescu; João F. Henriques; Yang Liu 105; Andrew Zisserman; Samuel Albanie (CoRR, 2020)

Squeeze-and-Excitation Networks. - Jie Hu 019; Li Shen 005; Samuel Albanie; Gang Sun 005; Enhua Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval. - Qingchao Chen; Yang Liu 105; Samuel Albanie (AAAI, 2021)

Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval. - Yang Liu 105; Qingchao Chen; Samuel Albanie (CVPR, 2021)

Sign Segmentation With Changepoint-Modulated Pseudo-Labelling. - Katrin Renz; Nicolaj C. Stache; Neil Fox; Gül Varol; Samuel Albanie (CVPR Workshops, 2021)

Read and Attend: Temporal Localisation in Sign Language Videos. - Gül Varol; Liliane Momeni; Samuel Albanie; Triantafyllos Afouras; Andrew Zisserman (CVPR, 2021)

SeeHear: Signer Diarisation and a New Dataset. - Samuel Albanie; Gül Varol; Liliane Momeni; Triantafyllos Afouras; Andrew Brown 006; Chuhan Zhang; Ernesto Coto; Necati Cihan Camgöz; Ben Saunders; Abhishek Dutta 003; Neil Fox; Richard Bowden; et al. (ICASSP, 2021)

QUERYD: A Video Dataset with High-Quality Text and Audio Narrations. - Andreea-Maria Oncescu; João F. Henriques; Yang Liu 105; Andrew Zisserman; Samuel Albanie (ICASSP, 2021)

Sign Language Segmentation with Temporal Convolutional Networks. - Katrin Renz; Nicolaj C. Stache; Samuel Albanie; Gül Varol (ICASSP, 2021)

Aligning Subtitles in Sign Language Videos. - Hannah Bull; Triantafyllos Afouras; Gül Varol; Samuel Albanie; Liliane Momeni; Andrew Zisserman (ICCV, 2021)

TeachText: CrossModal Generalized Distillation for Text-Video Retrieval. - Ioana Croitoru; Simion-Vlad Bogolin; Marius Leordeanu; Hailin Jin; Andrew Zisserman; Samuel Albanie; Yang Liu 105 (ICCV, 2021)

All you need are a few pixels: semantic segmentation with PixelPick. - Gyungin Shin; Weidi Xie; Samuel Albanie (ICCVW, 2021)

Audio Retrieval with Natural Language Queries. - Andreea-Maria Oncescu; A. Sophia Koepke; João F. Henriques; Zeynep Akata; Samuel Albanie (Interspeech, 2021)

Preface. - Samuel Albanie; João F. Henriques; Luca Bertinetto; Alex Hernández-García; Hazel Doughty; Gül Varol (Pre-Registration Workshop @ NeurIPS, 2021)

Quantum Self-Supervised Learning. - Ben Jaderberg; Lewis W. Anderson; Weidi Xie; Samuel Albanie; Martin Kiffner; Dieter Jaksch (CoRR, 2021)

On the Origin of Species of Self-Supervised Learning. - Samuel Albanie; Erika Lu; João F. Henriques (CoRR, 2021)

BBC-Oxford British Sign Language Dataset. - Samuel Albanie; Gül Varol; Liliane Momeni; Hannah Bull; Triantafyllos Afouras; Himel Chowdhury; Neil Fox; Bencie Woll; Rob Cooper; Andrew McParland; Andrew Zisserman (CoRR, 2021)

Weakly-supervised Fingerspelling Recognition in British Sign Language Videos. - K. R. Prajwal; Hannah Bull; Liliane Momeni; Samuel Albanie; Gül Varol; Andrew Zisserman (BMVC, 2022)

Cross Modal Retrieval with Querybank Normalisation. - Simion-Vlad Bogolin; Ioana Croitoru; Hailin Jin; Yang Liu 105; Samuel Albanie (CVPR, 2022)

Sign Language Video Retrieval with Free-Form Textual Queries. - Amanda Cardoso Duarte; Samuel Albanie; Xavier Giró-i-Nieto; Gül Varol (CVPR, 2022)

Unsupervised Salient Object Detection with Spectral Cluster Voting. - Gyungin Shin; Samuel Albanie; Weidi Xie (CVPR Workshops, 2022)

Automatic Dense Annotation of Large-Vocabulary Sign Language Videos. - Liliane Momeni; Hannah Bull; K. R. Prajwal; Samuel Albanie; Gül Varol; Andrew Zisserman (ECCV (35), 2022)

ReCo: Retrieve and Co-segment for Zero-shot Transfer. - Gyungin Shin; Weidi Xie; Samuel Albanie (NeurIPS, 2022)

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection. - Hangjie Yuan; Jianwen Jiang; Samuel Albanie; Tao Feng 014; Ziyuan Huang; Dong Ni 002; Mingqian Tang (NeurIPS, 2022)

A 23 MW data centre is all you need. - Samuel Albanie; Dylan Campbell; João F. Henriques (CoRR, 2022)

Scaling Up Sign Spotting Through Sign Language Dictionaries. - Gül Varol; Liliane Momeni; Samuel Albanie; Triantafyllos Afouras; Andrew Zisserman (Int. J. Comput. Vis., 2022)

Crosslingual Generalization through Multitask Finetuning. - Niklas Muennighoff; Thomas Wang; Lintang Sutawika; Adam Roberts; Stella Biderman; Teven Le Scao; M. Saiful Bari; Sheng Shen 001; Zheng Xin Yong; Hailey Schoelkopf; Xiangru Tang; Dragomir Radev; et al. (ACL (1), 2023)

Zero-shot Unsupervised Transfer Instance Segmentation. - Gyungin Shin; Samuel Albanie; Weidi Xie (CVPR Workshops, 2023)

NamedMask: Distilling Segmenters from Complementary Foundation Models. - Gyungin Shin; Weidi Xie; Samuel Albanie (CVPR Workshops, 2023)

Moment Detection in Long Tutorial Videos. - Ioana Croitoru; Simion-Vlad Bogolin; Samuel Albanie; Yang Liu 105; Zhaowen Wang; Seunghyun Yoon 002; Franck Dernoncourt; Hailin Jin; Trung Bui (ICCV, 2023)

Simple Baselines for Interactive Video Retrieval with Questions and Answers. - Kaiqu Liang; Samuel Albanie (ICCV, 2023)

SuS-X: Training-Free Name-Only Transfer of Vision-Language Models. - Vishaal Udandarao; Ankush Gupta 001; Samuel Albanie (ICCV, 2023)

RLIPv2: Fast Scaling of Relational Language-Image Pre-training. - Hangjie Yuan; Shiwei Zhang 001; Xiang Wang 012; Samuel Albanie; Yining Pan; Tao Feng 014; Jianwen Jiang; Dong Ni 002; Yingya Zhang; Deli Zhao (ICCV, 2023)

DeepMIM: Deep Supervision for Masked Image Modeling. - Sucheng Ren; Fangyun Wei; Samuel Albanie; Zheng Zhang 022; Han Hu 001 (CoRR, 2023)

Large Language Models are Few-shot Publication Scoopers. - Samuel Albanie; Liliane Momeni; João F. Henriques (CoRR, 2023)

Can GPT-4 Perform Neural Architecture Search? - Mingkai Zheng; Xiu Su; Shan You; Fei Wang 032; Chen Qian 006; Chang Xu 002; Samuel Albanie (CoRR, 2023)

SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models. - Jonathan Roberts 004; Kai Han 001; Samuel Albanie (CoRR, 2023)

GPT4GEO: How a Language Model Sees the World's Geography. - Jonathan Roberts 004; Timo Lüddecke; Sowmen Das; Kai Han 001; Samuel Albanie (CoRR, 2023)

arXiVeri: Automatic table verification with GPT. - Gyungin Shin; Weidi Xie; Samuel Albanie (CoRR, 2023)

Audio Retrieval With Natural Language Queries: A Benchmark Study. - A. Sophia Koepke; Andreea-Maria Oncescu; João F. Henriques; Zeynep Akata; Samuel Albanie (IEEE Trans. Multim., 2023)

HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. - Tim Franzmeyer; Aleksandar Shtedritski; Samuel Albanie; Philip Torr 001; João F. Henriques; Jakob N. Foerster (ACL (Findings), 2024)

Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs. - Jonathan Roberts 004; Timo Lüddecke; Rehan Sheikh; Kai Han 001; Samuel Albanie (CVPR Workshops, 2024)

InstructVideo: Instructing Video Diffusion Models with Human Feedback. - Hangjie Yuan; Shiwei Zhang 001; Xiang Wang 012; Yujie Wei 001; Tao Feng 014; Yining Pan; Yingya Zhang; Ziwei Liu 002; Samuel Albanie; Dong Ni 002 (CVPR, 2024)

A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval. - Andreea-Maria Oncescu; João F. Henriques; Andrew Zisserman; Samuel Albanie; A. Sophia Koepke (ICASSP, 2024)

Visual Data-Type Understanding does not emerge from scaling Vision-Language Models. - Vishaal Udandarao; Max F. Burg; Samuel Albanie; Matthias Bethge (ICLR, 2024)

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation. - Jonathan Roberts 004; Kai Han 001; Neil Houlsby; Samuel Albanie (NeurIPS, 2024)

On scalable oversight with weak LLMs judging strong LLMs. - Zachary Kenton; Noah Y. Siegel; János Kramár; Jonah Brown-Cohen; Samuel Albanie; Jannis Bulian; Rishabh Agarwal; David Lindner; Yunhao Tang; Noah D. Goodman; Rohin Shah (NeurIPS, 2024)

Efficient Lifelong Model Evaluation in an Era of Rapid Progress. - Ameya Prabhu; Vishaal Udandarao; Philip Torr 001; Matthias Bethge; Adel Bibi; Samuel Albanie (NeurIPS, 2024)

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance. - Vishaal Udandarao; Ameya Prabhu; Adhiraj Ghosh; Yash Sharma 001; Philip Torr 001; Adel Bibi; Samuel Albanie; Matthias Bethge (NeurIPS, 2024)

A Practitioner's Guide to Real-World Continual Multimodal Pretraining. - Vishaal Udandarao; Karsten Roth; Sebastian Dziadzio; Ameya Prabhu; Mehdi Cherti; Oriol Vinyals; Olivier J. Hénaff; Samuel Albanie; Zeynep Akata; Matthias Bethge (NeurIPS, 2024)

Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress. - Ameya Prabhu; Vishaal Udandarao; Philip Torr 001; Matthias Bethge; Adel Bibi; Samuel Albanie (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (CoRR, 2024)

A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision. - Charles Raude; K. R. Prajwal; Liliane Momeni; Hannah Bull; Samuel Albanie; Andrew Zisserman; Gül Varol (CoRR, 2024)

HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits. - Tim Franzmeyer; Aleksandar Shtedritski; Samuel Albanie; Philip Torr 001; João F. Henriques; Jakob N. Foerster (CoRR, 2024)

GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models. - Jonathan Roberts 004; Kai Han 001; Samuel Albanie (CoRR, 2024)

A Practitioner's Guide to Continual Multimodal Pretraining. - Karsten Roth; Vishaal Udandarao; Sebastian Dziadzio; Ameya Prabhu; Mehdi Cherti; Oriol Vinyals; Olivier J. Hénaff; Samuel Albanie; Matthias Bethge; Zeynep Akata (CoRR, 2024)

Beyond Outcomes: Transparent Assessment of LLM Reasoning in Games. - Wenye Lin; Jonathan Roberts 004; Yunhan Yang; Samuel Albanie; Zongqing Lu 002; Kai Han 001 (CoRR, 2024)

Iterate Averaging in the Quest for Best Test Error. - Diego Granziol; Nicholas P. Baskerville; Xingchen Wan; Samuel Albanie; Stephen Roberts 001 (J. Mach. Learn. Res., 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (Trans. Mach. Learn. Res., 2024)

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities. - Adhiraj Ghosh; Sebastian Dziadzio; Ameya Prabhu; Vishaal Udandarao; Samuel Albanie; Matthias Bethge (ACL (1), 2025)

GAMEBoT: Transparent Assessment of LLM Reasoning in Games. - Wenye Lin; Jonathan Roberts 004; Yunhan Yang; Samuel Albanie; Zongqing Lu 002; Kai Han 001 (ACL (1), 2025)

How to Merge Your Multimodal Models Over Time? - Sebastian Dziadzio; Vishaal Udandarao; Karsten Roth; Ameya Prabhu; Zeynep Akata; Samuel Albanie; Matthias Bethge (CVPR, 2025)

Active Data Curation Effectively Distills Large-Scale Multimodal Models. - Vishaal Udandarao; Nikhil Parthasarathy; Muhammad Ferjad Naeem; Talfan Evans; Samuel Albanie; Federico Tombari; Yongqin Xian; Alessio Tonioni; Olivier J. Hénaff (CVPR, 2025)

Inverse Constitutional AI: Compressing Preferences into Principles. - Arduin Findeis; Timo Kaufmann; Eyke Hüllermeier; Samuel Albanie; Robert D. Mullins (ICLR, 2025)

Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks? - Jonathan Roberts 004; Kai Han 001; Samuel Albanie (ICLR, 2025)

DeepMIM: Deep Supervision for Masked Image Modeling. - Sucheng Ren; Fangyun Wei; Samuel Albanie; Zheng Zhang; Han Hu (WACV, 2025)

TeachText: CrossModal text-video retrieval through generalized distillation. - Ioana Croitoru; Simion-Vlad Bogolin; Marius Leordeanu; Hailin Jin; Andrew Zisserman; Yang Liu 105; Samuel Albanie (Artif. Intell., 2025)

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models. - Jonathan Roberts 004; Mohammad Reza Taesiri; Ansh Sharma; Akash Gupta; Samuel Roberts; Ioana Croitoru; Simion-Vlad Bogolin; Jialu Tang; Florian Langer; Vyas Raina; Vatsal Raina; Hanyi Xiong; et al. (CoRR, 2025)

An Approach to Technical AGI Safety and Security. - Rohin Shah; Alex Irpan; Alexander Matt Turner; Anna Wang; Arthur Conmy; David Lindner; Jonah Brown-Cohen; Lewis Ho; Neel Nanda; Raluca Ada Popa; Rishub Jain; Rory Greig; et al. (CoRR, 2025)

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility. - Andreas Hochlehnert; Hardik Bhatnagar; Vishaal Udandarao; Samuel Albanie; Ameya Prabhu; Matthias Bethge (CoRR, 2025)

Control Tax: The Price of Keeping AI in Check. - Mikhail Terekhov; Zhen Ning David Liu; Caglar Gulcehre; Samuel Albanie (CoRR, 2025)

A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks. - Vishaal Udandarao; Mehdi Cherti; Shyamgopal Karthik; Jenia Jitsev; Samuel Albanie; Matthias Bethge (CoRR, 2025)