Pauline Luc
Pauline Luc
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Cited by
Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in neural information processing systems 35, 23716-23736, 2022
Semantic segmentation using adversarial networks
P Luc, C Couprie, S Chintala, J Verbeek
arXiv preprint arXiv:1611.08408, 2016
Predicting Deeper into the Future of Semantic Segmentation
P Luc, N Neverova, C Couprie, J Verbeek, Y LeCun
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2017
Broaden your views for self-supervised video learning
A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Predicting future instance segmentation by forecasting convolutional features
P Luc, C Couprie, Y Lecun, J Verbeek
Proceedings of the european conference on computer vision (ECCV), 584-599, 2018
Game Plan: What AI can do for Football, and What Football can do for AI
K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ...
Journal of Artificial Intelligence Research 71, 41-88, 2021
Towards learning universal audio representations
L Wang, P Luc, Y Wu, A Recasens, L Smaira, A Brock, A Jaegle, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Transformation-based adversarial video prediction on large-scale data
P Luc, A Clark, S Dieleman, DL Casas, Y Doron, A Cassirer, K Simonyan
arXiv preprint arXiv:2003.04035, 2020
Mikoł aj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, and Karén Simonyan. Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in Neural Information Processing Systems 35, 23716-23736, 2022
Multimodal self-supervised learning of general audio representations
L Wang, P Luc, A Recasens, JB Alayrac, A Oord
arXiv preprint arXiv:2104.12807, 2021
Predicting deeper into the future of semantic segmentation
N Neverova, P Luc, C Couprie, J Verbeek, Y LeCun
arXiv preprint arXiv:1703.07684 5, 2017
Fully parallel hyperparameter search: Reshaped space-filling
ML Cauwet, C Couprie, J Dehos, P Luc, J Rapin, M Riviere, F Teytaud, ...
International Conference on Machine Learning, 1338-1348, 2020
Zorro: the masked multimodal transformer
A Recasens, J Lin, J Carreira, D Jaegle, L Wang, J Alayrac, P Luc, ...
arXiv preprint arXiv:2301.09595, 2023
Joint future semantic and instance segmentation prediction
C Couprie, P Luc, J Verbeek
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Self-supervised learning of predictive segmentation models from video
P Luc
Université Grenoble Alpes, 2019
BootsTAP: Bootstrapped Training for Tracking-Any-Point
C Doersch, Y Yang, D Gokay, P Luc, S Koppula, A Gupta, J Heyward, ...
arXiv preprint arXiv:2402.00847, 2024
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime
C Zhang, A Miech, J Shen, JB Alayrac, P Luc
arXiv preprint arXiv:2305.02297, 2023
Recurrent unit for generating or processing a sequence of images
LUC Pauline, A Clark, SEL Dieleman, K Simonyan
US Patent App. 17/797,198, 2023
Language model for processing a multi-mode query input
JB Alayrac, J Donahue, K Lenc, K Simonyan, MKC Reynolds, ...
US Patent App. 18/141,337, 2023
Apprentissage autosupervisé de modèles prédictifs de segmentation à partir de vidéos
P Luc
Université Grenoble Alpes (ComUE), 2019
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