Mathilde Caron

50 papers A* 12A 2Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy. PLoS Comput. Biol. Théo Moutakanni, Camille Couprie, Seung Eun Yi, Michael Doron, Zitong Sam Chen, Nikita Moshkov, Elouan Gardes, Mathilde Caron, Hugo Touvron, Armand Joulin, Piotr Bojanowski, Wolfgang M. Pernice, Juan C. Caicedo
2025	J	`jnl`	Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames. CoRR Anurag Arnab, Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2024	A*	`conf`	A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CVPR Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid
2024	J	`jnl`	A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CoRR Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid
2024	A	`conf`	Location-Aware Self-Supervised Transformers for Semantic Segmentation. WACV Mathilde Caron, Neil Houlsby, Cordelia Schmid
2024	A*	`conf`	Retrieval-Enhanced Contrastive Vision-Text Models. ICLR Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2024	J	`jnl`	Self-Masking Networks for Unsupervised Adaptation. CoRR Alfonso Taboada Warmerdam, Mathilde Caron, Yuki M. Asano
2024	—	`conf`	Self-masking Networks for Unsupervised Adaptation. GCPR (1) Alfonso Taboada Warmerdam, Mathilde Caron, Yuki M. Asano
2024	A*	`conf`	Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach. NeurIPS Mathilde Caron, Alireza Fathi, Cordelia Schmid, Ahmet Iscen
2024	J	`jnl`	Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach. CoRR Mathilde Caron, Alireza Fathi, Cordelia Schmid, Ahmet Iscen
2023	A*	`conf`	FlexiViT: One Model for All Patch Sizes. CVPR Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
2023	J	`jnl`	Guided Diffusion from Self-Supervised Diffusion Features. CoRR Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer
2023	A*	`conf`	Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS 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
2023	J	`jnl`	Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. CoRR 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
2023	—	`conf`	Preface of UniReps: the First Workshop on Unifying Representations in Neural Models. UniReps Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron
2023	—	`ed.`	Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA. UniReps Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron
2023	J	`jnl`	ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. IEEE Trans. Pattern Anal. Mach. Intell. Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2023	J	`jnl`	Retrieval-Enhanced Contrastive Vision-Text Models. CoRR Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2023	A*	`conf`	Scaling Vision Transformers to 22 Billion Parameters. ICML 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
2023	J	`jnl`	Scaling Vision Transformers to 22 Billion Parameters. CoRR 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 Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
2023	J	`jnl`	Self-Supervised Learning for Endoscopic Video Analysis. CoRR Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023	—	`conf`	Self-supervised Learning for Endoscopic Video Analysis. MICCAI (5) Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin
2023	A*	`conf`	Verbs in Action: Improving verb understanding in video-language models. ICCV Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid
2023	J	`jnl`	Verbs in Action: Improving verb understanding in video-language models. CoRR Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid
2023	J	`jnl`	Weakly-Supervised Surgical Phase Recognition. CoRR Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin
2022	A	`conf`	A Memory Transformer Network for Incremental Learning. BMVC Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2022	J	`jnl`	A Memory Transformer Network for Incremental Learning. CoRR Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2022	J	`jnl`	FlexiViT: One Model for All Patch Sizes. CoRR Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
2022	J	`jnl`	Location-Aware Self-Supervised Transformers. CoRR Mathilde Caron, Neil Houlsby, Cordelia Schmid
2022	—	`conf`	Masked Siamese Networks for Label-Efficient Learning. ECCV (31) Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
2022	J	`jnl`	Masked Siamese Networks for Label-Efficient Learning. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	Unsupervised Dense Information Retrieval with Contrastive Learning. Trans. Mach. Learn. Res. Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2022	J	`jnl`	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision. CoRR Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Ishan Misra, Levent Sagun, Armand Joulin, Piotr Bojanowski
2021	A*	`conf`	Emerging Properties in Self-Supervised Vision Transformers. ICCV Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	J	`jnl`	Emerging Properties in Self-Supervised Vision Transformers. CoRR Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	J	`jnl`	ResMLP: Feedforward networks for image classification with data-efficient training. CoRR Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	J	`jnl`	Self-supervised Pretraining of Visual Features in the Wild. CoRR Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh, Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, Piotr Bojanowski
2021	—	`—`	Self-supervised learning of deep visual representations. (Apprentissage auto-supervisé de représentations visuelles avec des réseaux de neurones profonds). Mathilde Caron
2021	A*	`conf`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
2021	A*	`conf`	XCiT: Cross-Covariance Image Transformers. NeurIPS Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2021	J	`jnl`	XCiT: Cross-Covariance Image Transformers. CoRR Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
2020	J	`jnl`	Pruning Convolutional Neural Networks with Self-Supervision. CoRR Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
2020	A*	`conf`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2020	J	`jnl`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2019	J	`jnl`	Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2019	A*	`conf`	Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2018	—	`conf`	Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze
2018	J	`jnl`	Deep Clustering for Unsupervised Learning of Visual Features. CoRR Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze