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2020 – today
- 2024
[c17]Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CVPR 2024: 17313-17322- [c16]Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. ICLR 2024 - [c15]Mathilde Caron, Neil Houlsby, Cordelia Schmid:
Location-Aware Self-Supervised Transformers for Semantic Segmentation. WACV 2024: 116-126 - [i24]Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CoRR abs/2403.02041 (2024) - [i23]Alfonso Taboada Warmerdam, Mathilde Caron, Yuki M. Asano:
Self-Masking Networks for Unsupervised Adaptation. CoRR abs/2409.07577 (2024) - 2023
- [j2]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): 5314-5321 (2023) - [c14]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: 14496-14506 - [c13]Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid:
Verbs in Action: Improving verb understanding in video-language models. ICCV 2023: 15533-15545 - [c12]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: 7480-7512 - [c11]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: 569-578 - [c10]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 - [c9]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: 1-10 - [e1]Marco Fumero, Emanuele Rodolà, Clémentine Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron:
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA. Proceedings of Machine Learning Research 243, PMLR 2023 [contents] - [i22]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:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i21]Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid:
Verbs in Action: Improving verb understanding in video-language models. CoRR abs/2304.06708 (2023) - [i20]Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. CoRR abs/2306.07196 (2023) - [i19]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 abs/2307.06304 (2023) - [i18]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 abs/2308.12394 (2023) - [i17]Roy Hirsch, Regev Cohen, Mathilde Caron, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Weakly-Supervised Surgical Phase Recognition. CoRR abs/2310.17209 (2023) - [i16]Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer:
Guided Diffusion from Self-Supervised Diffusion Features. CoRR abs/2312.08825 (2023) - 2022
- [j1]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) - [c8]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. BMVC 2022: 388 - [c7]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: 456-473 - [i15]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 abs/2202.08360 (2022) - [i14]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 abs/2204.07141 (2022) - [i13]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. CoRR abs/2210.04485 (2022) - [i12]Mathilde Caron, Neil Houlsby, Cordelia Schmid:
Location-Aware Self-Supervised Transformers. CoRR abs/2212.02400 (2022) - [i11]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 abs/2212.08013 (2022) - 2021
- [b1]Mathilde Caron:
Self-supervised learning of deep visual representations. (Apprentissage auto-supervisé de représentations visuelles avec des réseaux de neurones profonds). Grenoble Alpes University, France, 2021 - [c6]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: 8423-8432 - [c5]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. ICCV 2021: 9630-9640 - [c4]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: 20014-20027 - [i10]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 abs/2103.01988 (2021) - [i9]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 abs/2104.13963 (2021) - [i8]Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin:
Emerging Properties in Self-Supervised Vision Transformers. CoRR abs/2104.14294 (2021) - [i7]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 abs/2105.03404 (2021) - [i6]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 abs/2106.09681 (2021) - [i5]Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR abs/2112.09118 (2021) - 2020
- [c3]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS 2020 - [i4]Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Pruning Convolutional Neural Networks with Self-Supervision. CoRR abs/2001.03554 (2020) - [i3]Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin:
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR abs/2006.09882 (2020)
2010 – 2019
- 2019
- [c2]Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV 2019: 2959-2968 - [i2]Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR abs/1905.01278 (2019) - 2018
- [c1]Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze:
Deep Clustering for Unsupervised Learning of Visual Features. ECCV (14) 2018: 139-156 - [i1]Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze:
Deep Clustering for Unsupervised Learning of Visual Features. CoRR abs/1807.05520 (2018)
Coauthor Index
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last updated on 2024-10-12 22:54 CEST by the dblp team
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