Federico Baldassarre

17 papers A* 1A 1Misc 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
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 J jnl
Cluster and Predict Latent Patches for Improved Masked Image Modeling.
CoRR
Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2025 J jnl
Cluster and Predict Latents Patches for Improved Masked Image Modeling.
Trans. Mach. Learn. Res.
Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, 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
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
2023 — —
Structured Representations for Explainable Deep Learning.
Federico Baldassarre
2023 Misc conf
Variable Rate Allocation for Vector-Quantized Autoencoders.
ICASSP
Federico Baldassarre, Alaaeldin El-Nouby, Hervé Jégou
2022 — conf
Learnable Masked Tokens for Improved Transferability of Self-supervised Vision Transformers.
ECML/PKDD (3)
Hao Hu, Federico Baldassarre, Hossein Azizpour
2022 A conf
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors.
BMVC
Federico Baldassarre, Quentin Debard, Gonzalo Fiz Pontiveros, Tri Kurniawan Wijaya
2022 J jnl
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors.
CoRR
Federico Baldassarre, Quentin Debard, Gonzalo Fiz Pontiveros, Tri Kurniawan Wijaya
2022 J jnl
Towards Self-Supervised Learning of Global and Object-Centric Representations.
CoRR
Federico Baldassarre, Hossein Azizpour
2021 J jnl
GraphQA: protein model quality assessment using graph convolutional networks.
Bioinform.
Federico Baldassarre, David Menéndez Hurtado, Arne Elofsson, Hossein Azizpour
2020 — conf
Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks.
ECCV (28)
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
2020 J jnl
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks.
CoRR
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
2019 J jnl
Explainability Techniques for Graph Convolutional Networks.
CoRR
Federico Baldassarre, Hossein Azizpour
2017 J jnl
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2.
CoRR
Federico Baldassarre, Diego González Morín, Lucas Rodés-Guirao