1 code implementation • 11 Aug 2023 • Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero Soriano
The unprecedented photorealistic results achieved by recent text-to-image generative systems and their increasing use as plug-and-play content creation solutions make it crucial to understand their potential biases.
no code implementations • CVPR 2023 • Sagar Vaze, Nicolas Carion, Ishan Misra
In this paper, we propose the GeneCIS ('genesis') benchmark, which measures models' ability to adapt to a range of similarity conditions.
1 code implementation • 20 Nov 2022 • Vlad Sobal, Jyothir S V, Siddhartha Jalagam, Nicolas Carion, Kyunghyun Cho, Yann Lecun
Many common methods for learning a world model for pixel-based environments use generative architectures trained with pixel-level reconstruction objectives.
1 code implementation • 25 Aug 2022 • Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann Lecun, Nicolas Carion
Unsupervised visual representation learning offers the opportunity to leverage large corpora of unlabeled trajectories to form useful visual representations, which can benefit the training of reinforcement learning (RL) algorithms.
3 code implementations • 26 Apr 2021 • Aishwarya Kamath, Mannat Singh, Yann Lecun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion
We also investigate the utility of our model as an object detector on a given label set when fine-tuned in a few-shot setting.
Ranked #1 on Visual Question Answering (VQA) on CLEVR-Humans
Generalized Referring Expression Comprehension Phrase Grounding +9
1 code implementation • ICCV 2021 • Aishwarya Kamath, Mannat Singh, Yann Lecun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion
We also investigate the utility of our model as an object detector on a given label set when fine-tuned in a few-shot setting.
Ranked #2 on Referring Expression Comprehension on Talk2Car (using extra training data)
37 code implementations • ECCV 2020 • Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
We present a new method that views object detection as a direct set prediction problem.
Ranked #21 on Panoptic Segmentation on COCO minival
1 code implementation • NeurIPS 2019 • Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier
While centralized reinforcement learning methods can optimally solve small MAC instances, they do not scale to large problems and they fail to generalize to scenarios different from those seen during training.
Multi-agent Reinforcement Learning reinforcement-learning +4
1 code implementation • ICLR 2018 • Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Dan Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
We formulate the problem of defogging as state estimation and future state prediction from previous, partial observations in the context of real-time strategy games.
no code implementations • 2 Jun 2016 • Stefan Bauer, Nicolas Carion, Peter Schüffler, Thomas Fuchs, Peter Wild, Joachim M. Buhmann
Accurate and robust cell nuclei classification is the cornerstone for a wider range of tasks in digital and Computational Pathology.