DeepLPF: Deep Local Parametric Filters for Image Enhancement. - Sean Moran; Pierre Marza; Steven McDonagh 001; Sarah Parisot; Gregory G. Slabaugh (CVPR, 2020)

Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. - Pierre Marza; Laëtitia Matignon; Olivier Simonin 001; Christian Wolf 001 (IROS, 2022)

An experimental study of the vision-bottleneck in VQA. - Pierre Marza; Corentin Kervadec; Grigory Antipov; Moez Baccouche; Christian Wolf 001 (CoRR, 2022)

Multi-Object Navigation with dynamically learned neural implicit representations. - Pierre Marza; Laëtitia Matignon; Olivier Simonin 001; Christian Wolf 001 (ICCV, 2023)

Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning. - Pierre Marza; Laëtitia Matignon; Olivier Simonin 001; Christian Wolf 001 (CVPR, 2024)

AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. - Pierre Marza; Laëtitia Matignon; Olivier Simonin 001; Dhruv Batra; Christian Wolf 001; Devendra Singh Chaplot (IROS, 2024)

Learning spatial representations for single-task navigation and multi-task policies. (Apprentissage de représentations spatiales pour les politiques mono-tâches de navigation et multi-tâches). - Pierre Marza (2024)

CDG-MAE: Learning Correspondences from Diffusion Generated Views. - Varun Belagali; Pierre Marza; Srikar Yellapragada; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Joel H. Saltz; Stergios Christodoulidis; Maria Vakalopoulou; Dimitris Samaras (CoRR, 2025)

THUNDER: Tile-level Histopathology image UNDERstanding benchmark. - Pierre Marza; Leo Fillioux; Sofiène Boutaj; Kunal Mahatha; Christian Desrosiers; Pablo Piantanida; Jose Dolz; Stergios Christodoulidis; Maria Vakalopoulou (CoRR, 2025)