Mathilde Caron

According to our database, Mathilde Caron authored at least 30 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Generative Approach for Wikipedia-Scale Visual Entity Recognition.

Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid

CoRR, 2024

Location-Aware Self-Supervised Transformers for Semantic Segmentation.

Mathilde Caron, Neil Houlsby, Cordelia Schmid

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.

Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Guided Diffusion from Self-Supervised Diffusion Features.

Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer

CoRR, 2023

Weakly-Supervised Surgical Phase Recognition.

Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin

CoRR, 2023

Retrieval-Enhanced Contrastive Vision-Text Models.

Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid

CoRR, 2023

Scaling Vision Transformers to 22 Billion Parameters.

Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina N. Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby

CoRR, 2023

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution.

Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M. Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-supervised Learning for Endoscopic Video Analysis.

Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Scaling Vision Transformers to 22 Billion Parameters.

Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby

Proceedings of the International Conference on Machine Learning, 2023

Verbs in Action: Improving verb understanding in video-language models.

Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FlexiViT: One Model for All Patch Sizes.

Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Dense Information Retrieval with Contrastive Learning.

Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave

Trans. Mach. Learn. Res., 2022

Location-Aware Self-Supervised Transformers.

Mathilde Caron, Neil Houlsby, Cordelia Schmid

CoRR, 2022

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

Masked Siamese Networks for Label-Efficient Learning.

Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas

Proceedings of the Computer Vision - ECCV 2022, 2022

A Memory Transformer Network for Incremental Learning.

Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Self-supervised learning of deep visual representations. (Apprentissage auto-supervisé de représentations visuelles avec des réseaux de neurones profonds).

Mathilde Caron

PhD thesis, 2021

Towards Unsupervised Dense Information Retrieval with Contrastive Learning.

Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave

CoRR, 2021

XCiT: Cross-Covariance Image Transformers.

Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

CoRR, 2021

ResMLP: Feedforward networks for image classification with data-efficient training.

Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

CoRR, 2021

Self-supervised Pretraining of Visual Features in the Wild.

Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski

CoRR, 2021

XCiT: Cross-Covariance Image Transformers.

Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emerging Properties in Self-Supervised Vision Transformers.

Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin

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

Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples.

Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat

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

2020

Pruning Convolutional Neural Networks with Self-Supervision.

Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin

CoRR, 2020

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.

Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features.

Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin

CoRR, 2019

Unsupervised Pre-Training of Image Features on Non-Curated Data.

Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Clustering for Unsupervised Learning of Visual Features.

Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze

Proceedings of the Computer Vision - ECCV 2018, 2018