On link harness optimization of embedded Ethernet networks. - Jörg Sommer; Elias A. Doumith; Quentin Duval (SIES, 2009)

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. - Priya Goyal; Quentin Duval; Isaac Seessel; Mathilde Caron; Ishan Misra; Levent Sagun; Armand Joulin; Piotr Bojanowski (CoRR, 2022)

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. - Mahmoud Assran; Quentin Duval; Ishan Misra; Piotr Bojanowski; Pascal Vincent; Michael G. Rabbat; Yann LeCun; Nicolas Ballas (CVPR, 2023)

FACET: Fairness in Computer Vision Evaluation Benchmark. - Laura Gustafson; Chloé Rolland; Nikhila Ravi; Quentin Duval; Aaron Adcock; Cheng-Yang Fu; Melissa Hall; Candace Ross (ICCV, 2023)

The effectiveness of MAE pre-pretraining for billion-scale pretraining. - Mannat Singh; Quentin Duval; Kalyan Vasudev Alwala; Haoqi Fan 001; Vaibhav Aggarwal; Aaron Adcock; Armand Joulin; Piotr Dollár; Christoph Feichtenhofer; Ross B. Girshick; Rohit Girdhar; Ishan Misra (ICCV, 2023)

The hidden uniform cluster prior in self-supervised learning. - Mido Assran; Randall Balestriero; Quentin Duval; Florian Bordes; Ishan Misra; Piotr Bojanowski; Pascal Vincent; Michael G. Rabbat; Nicolas Ballas (ICLR, 2023)

A Simple Recipe for Competitive Low-compute Self supervised Vision Models. - Quentin Duval; Ishan Misra; Nicolas Ballas (CoRR, 2023)

Learning to Substitute Ingredients in Recipes. - Bahare Fatemi; Quentin Duval; Rohit Girdhar; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2023)

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning. - Rohit Girdhar; Mannat Singh; Andrew Brown; Quentin Duval; Samaneh Azadi; Sai Saketh Rambhatla; Akbar Shah; Xi Yin 001; Devi Parikh; Ishan Misra (CoRR, 2023)

Factorizing Text-to-Video Generation by Explicit Image Conditioning. - Rohit Girdhar; Mannat Singh; Andrew Brown; Quentin Duval; Samaneh Azadi; Sai Saketh Rambhatla; Akbar Shah; Xi Yin 001; Devi Parikh; Ishan Misra (ECCV (62), 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)