Marc Szafraniec

22 papers A* 5C 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Universal Perception Encoder.
CoRR
Chenchen Zhu, Saksham Suri, Cijo Jose, Maxime Oquab, Marc Szafraniec, Wei Wen, Yunyang Xiong, Patrick Labatut, Piotr Bojanowski, Raghuraman Krishnamoorthi, Vikas Chandra
2025 J jnl
Back to the Features: DINO as a Foundation for Video World Models.
CoRR
Federico Baldassarre, Marc Szafraniec, Basile Terver, Vasil Khalidov, Francisco Massa, Yann LeCun, Patrick Labatut, Maximilian Seitzer, Piotr Bojanowski
2025 A* conf
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment.
CVPR
Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2025 J jnl
DINOv3.
CoRR
Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2025 J jnl
Disentangling the Factors of Convergence between Brains and Computer Vision Models.
CoRR
Joséphine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Rémi King
2025 J jnl
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.
CoRR
Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2024 J jnl
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach.
CoRR
Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2024 J jnl
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach.
Trans. Mach. Learn. Res.
Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2024 J jnl
Better (pseudo-)labels for semi-supervised instance segmentation.
CoRR
François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek
2024 J jnl
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment.
CoRR
Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2024 J jnl
DINOv2: Learning Robust Visual Features without Supervision.
Trans. Mach. Learn. Res.
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2024 J jnl
You Don't Need Data-Augmentation in Self-Supervised Learning.
CoRR
Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
2024 A* conf
You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning.
NeurIPS
Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
2023 A* conf
Code Translation with Compiler Representations.
ICLR
Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve
2023 J jnl
DINOv2: Learning Robust Visual Features without Supervision.
CoRR
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2022 J jnl
Code Translation with Compiler Representations.
CoRR
Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve
2021 A* conf
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages.
NeurIPS
Marie-Anne Lachaux, Baptiste Rozière, Marc Szafraniec, Guillaume Lample
2021 J jnl
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages.
CoRR
Baptiste Rozière, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample
2020 A* conf
Continuous Surface Embeddings.
NeurIPS
Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi
2020 J jnl
Continuous Surface Embeddings.
CoRR
Natalia Neverova, David Novotný, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
2017 C conf
Putting Self-Supervised Token Embedding on the Tables.
ICMLA
Marc Szafraniec, Gautier Marti, Philippe Donnat
2017 J jnl
Putting Self-Supervised Token Embedding on the Tables.
CoRR
Marc Szafraniec, Gautier Marti, Philippe Donnat