Pauline Luc

According to our database, Pauline Luc authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BootsTAP: Bootstrapped Training for Tracking-Any-Point.

Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman

CoRR, 2024

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

Zorro: the masked multimodal transformer.

Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman

CoRR, 2023

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, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan

CoRR, 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, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Learning Universal Audio Representations.

Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Game Plan: What AI can do for Football, and What Football can do for AI.

Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

J. Artif. Intell. Res., 2021

Multimodal Self-Supervised Learning of General Audio Representations.

Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord

CoRR, 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, Andrew Zisserman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Transformation-based Adversarial Video Prediction on Large-Scale Data.

Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan

CoRR, 2020

Fully Parallel Hyperparameter Search: Reshaped Space-Filling.

Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud, Nicolas Usunier

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Self-supervised learning of predictive segmentation models from video. (Apprentissage autosupervisé de modèles prédictifs de segmentation à partir de vidéos).

Pauline Luc

PhD thesis, 2019

Fully Parallel Hyperparameter Search: Reshaped Space-Filling.

Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud

CoRR, 2019

2018

Predicting Future Instance Segmentations by Forecasting Convolutional Features.

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

CoRR, 2018

Predicting Future Instance Segmentation by Forecasting Convolutional Features.

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Future Semantic and Instance Segmentation Prediction.

Camille Couprie, Pauline Luc, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Predicting Deeper into the Future of Semantic Segmentation.

Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Semantic Segmentation using Adversarial Networks.

Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek

CoRR, 2016