Mathilde Caron

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Visual Features

Supervised Learning

Top Venues

Publications

Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CoRR (2024)
Mathilde Caron, Neil Houlsby, Cordelia Schmid
Location-Aware Self-Supervised Transformers for Semantic Segmentation. WACV (2024)
Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
Retrieval-Enhanced Contrastive Vision-Text Models. ICLR (2024)
Marco Fumero, Emanuele Rodolà, Clémentine Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron
Preface of UniReps: the First Workshop on Unifying Representations in Neural Models. UniReps (2023)
Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
FlexiViT: One Model for All Patch Sizes. CVPR (2023)
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
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS (2023)
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 Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. CoRR (2023)
Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid
Verbs in Action: Improving verb understanding in video-language models. ICCV (2023)
Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
Retrieval-Enhanced Contrastive Vision-Text Models. CoRR (2023)
Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
Self-supervised Learning for Endoscopic Video Analysis. MICCAI (5) (2023)
Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid
Verbs in Action: Improving verb understanding in video-language models. CoRR (2023)
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
Scaling Vision Transformers to 22 Billion Parameters. ICML (2023)
Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer
Guided Diffusion from Self-Supervised Diffusion Features. CoRR (2023)
Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. CoRR (2023)
Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin
Weakly-Supervised Surgical Phase Recognition. CoRR (2023)
Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
Self-Supervised Learning for Endoscopic Video Analysis. CoRR (2023)
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
Masked Siamese Networks for Label-Efficient Learning. CoRR (2022)
Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR (2022)
Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid
A Memory Transformer Network for Incremental Learning. CoRR (2022)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
Masked Siamese Networks for Label-Efficient Learning. ECCV (31) (2022)
Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid
A Memory Transformer Network for Incremental Learning. BMVC (2022)
Mathilde Caron, Neil Houlsby, Cordelia Schmid
Location-Aware Self-Supervised Transformers. CoRR (2022)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. 2022 (2022)
Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
FlexiViT: One Model for All Patch Sizes. CoRR (2022)
Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
XCiT: Cross-Covariance Image Transformers. NeurIPS (2021)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV (2021)
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Emerging Properties in Self-Supervised Vision Transformers. ICCV (2021)
Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
XCiT: Cross-Covariance Image Transformers. CoRR (2021)
Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
Self-supervised Pretraining of Visual Features in the Wild. CoRR (2021)
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR (2021)
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Emerging Properties in Self-Supervised Vision Transformers. CoRR (2021)
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
ResMLP: Feedforward networks for image classification with data-efficient training. CoRR (2021)
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR (2021)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR (2020)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS (2020)
Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
Pruning Convolutional Neural Networks with Self-Supervision. CoRR (2020)
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV (2019)
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR (2019)
Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
Deep Clustering for Unsupervised Learning of Visual Features. CoRR (2018)
Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) (2018)