Alayrac, Jean-Baptiste

16 publications

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, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikołaj Bińkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan

ICML 2022 General-Purpose, Long-Context Autoregressive Modeling with Perceiver AR Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, Joao Carreira, Jesse Engel

CVPR 2022 Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos Tomáš Souček, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic

ICLR 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 Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, Joao Carreira

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 Pătrăucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman

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

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

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

NeurIPS 2020 Self-Supervised MultiModal Versatile Networks Jean-Baptiste Alayrac, Adria Recasens, Rosalia Schneider, Relja Arandjelović, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman

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

NeurIPS 2018 A Flexible Model for Training Action Localization with Varying Levels of Supervision Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev, Cordelia Schmid

ICLR 2018 SEARNN: Training RNNs with Global-Local Losses Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien

ICCV 2017 Joint Discovery of Object States and Manipulation Actions Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, 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

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

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