Pierre Marza

According to our database, Pierre Marza authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

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, July, 2025

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, June, 2025

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

PhD thesis, 2024

AutoNeRF: Training Implicit Scene Representations with Autonomous Agents.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multi-Object Navigation with dynamically learned neural implicit representations.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An experimental study of the vision-bottleneck in VQA.

Pierre Marza, Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf

CoRR, 2022

Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation.

Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020

DeepLPF: Deep Local Parametric Filters for Image Enhancement.

Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory G. Slabaugh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020