Marc Szafraniec

According to our database, Marc Szafraniec authored at least 12 papers between 2017 and 2025.

Collaborative distances:

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

2025

Back to the Features: DINO as a Foundation for Video World Models.

Federico Baldassarre, Marc Szafraniec, Basile Terver, Vasil Khalidov, Francisco Massa, Yann LeCun, Patrick Labatut, Maximilian Seitzer, Piotr Bojanowski

CoRR, July, 2025

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

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

CoRR, June, 2025

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach.

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

Trans. Mach. Learn. Res., 2024

DINOv2: Learning Robust Visual Features without Supervision.

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

Trans. Mach. Learn. Res., 2024

You Don't Need Data-Augmentation in Self-Supervised Learning.

Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski

CoRR, 2024

Better (pseudo-)labels for semi-supervised instance segmentation.

François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek

CoRR, 2024

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning.

Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Code Translation with Compiler Representations.

Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages.

Marie-Anne Lachaux, Baptiste Rozière, Marc Szafraniec, Guillaume Lample

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

2020

Continuous Surface Embeddings.

Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi

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

2017

Putting Self-Supervised Token Embedding on the Tables.

Marc Szafraniec, Gautier Marti, Philippe Donnat

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017