Antoine Saporta

According to our database, Antoine Saporta authored at least 10 papers between 2019 and 2026.

Collaborative distances:

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

2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge.

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, April, 2026

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models.

Antoine Saporta, Baptiste Callard, Corentin Dancette, Julien Khlaut, Charles Corbière, Léo Butsanets, Amaury Prat, Pierre Manceron

CoRR, April, 2026

2025

Curia: A Multi-Modal Foundation Model for Radiology.

Corentin Dancette, Julien Khlaut, Antoine Saporta, Hélène Philippe, Elodie Ferreres, Baptiste Callard, Théo Danielou, Léo Alberge, Léo Machado, Daniel Tordjman, Julie Dupuis, Korentin Le Floch, Jean Du Terrail, Mariam Moshiri, Laurent Dercle, Tom Boeken, Jules Grégory, Maxime Ronot, François Legou, Pascal Roux, Marc Sapoval, Pierre Manceron, Paul Hérent

CoRR, September, 2025

2022

Domain Adaptation for Urban Scene Segmentation. (Adaptation de domaine pour la segmentation de scènes urbaines).

Antoine Saporta

PhD thesis, 2022

Confidence Estimation via Auxiliary Models.

Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation.

Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation.

Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation.

Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

CoRR, 2020

2019

Reve: Regularizing Deep Learning with Variational Entropy Bound.

Antoine Saporta, Yifu Chen, Michaël Blot, Matthieu Cord

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation.

Yifu Chen, Antoine Saporta, Arnaud Dapogny, Matthieu Cord

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019