Unsupervised Learning from Narrated Instruction Videos. - Jean-Baptiste Alayrac; Piotr Bojanowski; Nishant Agrawal; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (CVPR, 2016)

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. - Anton Osokin; Jean-Baptiste Alayrac; Isabella Lukasewitz; Puneet Kumar Dokania; Simon Lacoste-Julien (ICML, 2016)

Joint Discovery of Object States and Manipulation Actions. - Jean-Baptiste Alayrac; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (ICCV, 2017)

Learning from Video and Text via Large-Scale Discriminative Clustering. - Antoine Miech; Jean-Baptiste Alayrac; Piotr Bojanowski; Ivan Laptev; Josef Sivic (ICCV, 2017)

Joint Discovery of Object States and Manipulating Actions. - Jean-Baptiste Alayrac; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (CoRR, 2017)

SEARNN: Training RNNs with global-local losses. - Rémi Leblond; Jean-Baptiste Alayrac; Anton Osokin; Simon Lacoste-Julien (ICLR (Poster), 2018)

A flexible model for training action localization with varying levels of supervision. - Guilhem Chéron; Jean-Baptiste Alayrac; Ivan Laptev; Cordelia Schmid (NeurIPS, 2018)

Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. - Meera Hahn; Nataniel Ruiz; Jean-Baptiste Alayrac; Ivan Laptev; James M. Rehg (CoRR, 2018)

Learning from Narrated Instruction Videos. - Jean-Baptiste Alayrac; Piotr Bojanowski; Nishant Agrawal; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Structured Learning from Videos and Language. (Apprentissage structuré à partir de vidéos et langage). - Jean-Baptiste Alayrac (2018)

The Visual Centrifuge: Model-Free Layered Video Representations. - Jean-Baptiste Alayrac; João Carreira 001; Andrew Zisserman (CVPR, 2019)

Cross-Task Weakly Supervised Learning From Instructional Videos. - Dimitri Zhukov; Jean-Baptiste Alayrac; Ramazan Gokberk Cinbis; David F. Fouhey; Ivan Laptev; Josef Sivic (CVPR, 2019)

Controllable Attention for Structured Layered Video Decomposition. - Jean-Baptiste Alayrac; João Carreira 001; Relja Arandjelovic; Andrew Zisserman (ICCV, 2019)

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. - Antoine Miech; Dimitri Zhukov; Jean-Baptiste Alayrac; Makarand Tapaswi; Ivan Laptev; Josef Sivic (ICCV, 2019)

Are Labels Required for Improving Adversarial Robustness? - Jean-Baptiste Alayrac; Jonathan Uesato; Po-Sen Huang; Alhussein Fawzi; Robert Stanforth; Pushmeet Kohli (NeurIPS, 2019)

Learning to Segment Actions from Observation and Narration. - Daniel Fried; Jean-Baptiste Alayrac; Phil Blunsom; Chris Dyer; Stephen Clark; Aida Nematzadeh (ACL, 2020)

End-to-End Learning of Visual Representations From Uncurated Instructional Videos. - Antoine Miech; Jean-Baptiste Alayrac; Lucas Smaira; Ivan Laptev; Josef Sivic; Andrew Zisserman (CVPR, 2020)

Visual Grounding in Video for Unsupervised Word Translation. - Gunnar A. Sigurdsson; Jean-Baptiste Alayrac; Aida Nematzadeh; Lucas Smaira; Mateusz Malinowski; João Carreira 001; Phil Blunsom; Andrew Zisserman (CVPR, 2020)

Learning Actionness via Long-Range Temporal Order Verification. - Dimitri Zhukov; Jean-Baptiste Alayrac; Ivan Laptev; Josef Sivic (ECCV (29), 2020)

Self-Supervised MultiModal Versatile Networks. - Jean-Baptiste Alayrac; Adrià Recasens; Rosalia Schneider; Relja Arandjelovic; Jason Ramapuram; Jeffrey De Fauw; Lucas Smaira; Sander Dieleman; Andrew Zisserman (NeurIPS, 2020)

RareAct: A video dataset of unusual interactions. - Antoine Miech; Jean-Baptiste Alayrac; Ivan Laptev; Josef Sivic; Andrew Zisserman (CoRR, 2020)

Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers. - Antoine Miech; Jean-Baptiste Alayrac; Ivan Laptev; Josef Sivic; Andrew Zisserman (CVPR, 2021)

Machine Translation Decoding beyond Beam Search. - Rémi Leblond; Jean-Baptiste Alayrac; Laurent Sifre; Miruna Pislar; Jean-Baptiste Lespiau; Ioannis Antonoglou; Karen Simonyan; Oriol Vinyals (EMNLP (1), 2021)

Efficient Visual Pretraining with Contrastive Detection. - Olivier J. Hénaff; Skanda Koppula; Jean-Baptiste Alayrac; Aäron van den Oord; Oriol Vinyals; João Carreira 001 (ICCV, 2021)

Broaden Your Views for Self-Supervised Video Learning. - Adrià Recasens; Pauline Luc; Jean-Baptiste Alayrac; Luyu Wang; Florian Strub; Corentin Tallec; Mateusz Malinowski; Viorica Patraucean; Florent Altché; Michal Valko; Jean-Bastien Grill; Aäron van den Oord; et al. (ICCV, 2021)

Multimodal Self-Supervised Learning of General Audio Representations. - Luyu Wang; Pauline Luc; Adrià Recasens; Jean-Baptiste Alayrac; Aäron van den Oord (CoRR, 2021)

Generative Art Using Neural Visual Grammars and Dual Encoders. - Chrisantha Fernando; S. M. Ali Eslami; Jean-Baptiste Alayrac; Piotr Mirowski; Dylan Banarse; Simon Osindero (CoRR, 2021)

Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. - Lisa Anne Hendricks; John Mellor; Rosalia Schneider; Jean-Baptiste Alayrac; Aida Nematzadeh (Trans. Assoc. Comput. Linguistics, 2021)

Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. - Tomás Soucek; Jean-Baptiste Alayrac; Antoine Miech; Ivan Laptev; Josef Sivic (CVPR, 2022)

Towards Learning Universal Audio Representations. - Luyu Wang; Pauline Luc; Yan Wu 010; Adrià Recasens; Lucas Smaira; Andrew Brock; Andrew Jaegle; Jean-Baptiste Alayrac; Sander Dieleman; João Carreira 001; Aäron van den Oord (ICASSP, 2022)

Perceiver IO: A General Architecture for Structured Inputs & Outputs. - Andrew Jaegle; Sebastian Borgeaud; Jean-Baptiste Alayrac; Carl Doersch; Catalin Ionescu; David Ding; Skanda Koppula; Daniel Zoran; Andrew Brock; Evan Shelhamer; Olivier J. Hénaff; Matthew M. Botvinick; et al. (ICLR, 2022)

General-purpose, long-context autoregressive modeling with Perceiver AR. - Curtis Hawthorne; Andrew Jaegle; Catalina Cangea; Sebastian Borgeaud; Charlie Nash; Mateusz Malinowski; Sander Dieleman; Oriol Vinyals; Matthew M. Botvinick; Ian Simon; Hannah Sheahan; Neil Zeghidour; et al. (ICML, 2022)

Flamingo: a Visual Language Model for Few-Shot Learning. - Jean-Baptiste Alayrac; Jeff Donahue; Pauline Luc; Antoine Miech; Iain Barr; Yana Hasson; Karel Lenc; Arthur Mensch; Katherine Millican; Malcolm Reynolds; Roman Ring; Eliza Rutherford; et al. (NeurIPS, 2022)

Flamingo: a Visual Language Model for Few-Shot Learning. - Jean-Baptiste Alayrac; Jeff Donahue; Pauline Luc; Antoine Miech; Iain Barr; Yana Hasson; Karel Lenc; Arthur Mensch; Katie Millican; Malcolm Reynolds; Roman Ring; Eliza Rutherford; et al. (CoRR, 2022)

Multi-Task Learning of Object State Changes from Uncurated Videos. - Tomás Soucek; Jean-Baptiste Alayrac; Antoine Miech; Ivan Laptev; Josef Sivic (CoRR, 2022)

Zorro: the masked multimodal transformer. - Adrià Recasens; Jason Lin; João Carreira 001; Andrew Jaegle; Luyu Wang; Jean-Baptiste Alayrac; Pauline Luc; Antoine Miech; Lucas Smaira; Ross Hemsley; Andrew Zisserman (CoRR, 2023)

Three ways to improve feature alignment for open vocabulary detection. - Relja Arandjelovic; Alex Andonian; Arthur Mensch; Olivier J. Hénaff; Jean-Baptiste Alayrac; Andrew Zisserman (CoRR, 2023)

Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime. - Chuhan Zhang; Antoine Miech; Jiajun Shen; Jean-Baptiste Alayrac; Pauline Luc (CoRR, 2023)

Gemini: A Family of Highly Capable Multimodal Models. - Rohan Anil; Sebastian Borgeaud; Yonghui Wu; Jean-Baptiste Alayrac; Jiahui Yu; Radu Soricut; Johan Schalkwyk; Andrew M. Dai; Anja Hauth; Katie Millican; David Silver; Slav Petrov; et al. (CoRR, 2023)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. - Machel Reid; Nikolay Savinov; Denis Teplyashin; Dmitry Lepikhin; Timothy P. Lillicrap; Jean-Baptiste Alayrac; Radu Soricut; Angeliki Lazaridou; Orhan Firat; Julian Schrittwieser; Ioannis Antonoglou; Rohan Anil; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Multi-Task Learning of Object States and State-Modifying Actions From Web Videos. - Tomás Soucek; Jean-Baptiste Alayrac; Antoine Miech; Ivan Laptev; Josef Sivic (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)