Antoine Manzanera

My research interests spread over the different levels of Image Analysis and Computer Vision, from the physical aspects and mathematical models to the algorithms and embedded implementation.

I am particularly interested in visual representations learning, and also in video analysis for autonomous navigation, 3d reconstruction and motion understanding.

Some recent works:

Prostate lesion classification through Multiparametric MRI + Clinical variables

Prostate lesion classification by Riemannian networks fusioning multi-parametric MRI clinical variables (Ph.D. of Juan Andrés Olmos - ISBI 2026)

CoopNet 2: Self-supervised joint prediction of depth maps, odometry and semantic contours (Ph.D. of Marwane Hariat - CVPR 2025)

SfSNet: Curriculum learning of colonscopy depth maps for assisted gastroenterology

SfSNet: Curriculum learning of colon depth maps for assisted gastroenterology (Ph.D. of Josué Ruano - Computerized Medical Images and Graphics 2024)

Multi-level fusion of gait and eye movement for Parkinson quantification

Multiple level fusion of gait and ocular movement videos by Riemannian networks for Parkinson stage classification (Ph.D. of John Archila - Biomedical Letters 2024)

CoopNet: Joint learning of depth maps, odometry and optical flow

CoopNet: Self-supervised joint learning of depth maps, odometry and optical flow for autonomous navigation in dynamix environment (Ph.D. of Marwane Hariat - WACV 2023)

ENSTA - Unité Informatique ET INGÉNIERIE DES SYSTÈMES (U2IS)

Prostate lesion classification by Riemannian networks fusioning multi-parametric MRI clinical variables (Ph.D. of Juan Andrés Olmos - ISBI 2026)

CoopNet 2: Self-supervised joint prediction of depth maps, odometry and semantic contours (Ph.D. of Marwane Hariat - CVPR 2025)

SfSNet: Curriculum learning of colon depth maps for assisted gastroenterology (Ph.D. of Josué Ruano - Computerized Medical Images and Graphics 2024)

Multiple level fusion of gait and ocular movement videos by Riemannian networks for Parkinson stage classification (Ph.D. of John Archila - Biomedical Letters 2024)

CoopNet: Self-supervised joint learning of depth maps, odometry and optical flow for autonomous navigation in dynamix environment (Ph.D. of Marwane Hariat - WACV 2023)

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