Putting Self-Supervised Token Embedding on the Tables. - Marc Szafraniec; Gautier Marti; Philippe Donnat (ICMLA, 2017)

Continuous Surface Embeddings. - Natalia Neverova; David Novotný; Marc Szafraniec; Vasil Khalidov; Patrick Labatut; Andrea Vedaldi (NeurIPS, 2020)

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. - Marie-Anne Lachaux; Baptiste Rozière; Marc Szafraniec; Guillaume Lample (NeurIPS, 2021)

Code Translation with Compiler Representations. - Marc Szafraniec; Baptiste Rozière; Hugh Leather; Patrick Labatut; François Charton; Gabriel Synnaeve (ICLR, 2023)

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning. - Théo Moutakanni; Maxime Oquab; Marc Szafraniec; Maria Vakalopoulou; Piotr Bojanowski (NeurIPS, 2024)

Better (pseudo-)labels for semi-supervised instance segmentation. - François Porcher; Camille Couprie; Marc Szafraniec; Jakob Verbeek (CoRR, 2024)

You Don't Need Data-Augmentation in Self-Supervised Learning. - Théo Moutakanni; Maxime Oquab; Marc Szafraniec; Maria Vakalopoulou; Piotr Bojanowski (CoRR, 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; et al. (Trans. Mach. Learn. Res., 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; et al. (Trans. Mach. Learn. Res., 2024)

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 001; Daniel Li 006; Marc Szafraniec; Michaël Ramamonjisoa; Maxime Oquab; Oriane Siméoni; Huy V. Vo; et al. (CVPR, 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; et al. (CoRR, 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, 2025)

DINOv3. - 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; et al. (CoRR, 2025)