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Pierre Marza

7 accepted papers

2025

Controllable Latent Space Augmentation for Digital Pathology

ICCV 2025poster

Whole slide image (WSI) analysis in digital pathology presents unique challenges due to the gigapixel resolution of WSIs and the scarcity of dense supervision signals. While Multiple Instance Learning (MIL) is a natural fit for slide-level tasks, training robust models requires large and diverse dat…

2025

THUNDER: Tile-level Histopathology image UNDERstanding benchmark

NeurIPS 2025spotlight

Progress in a research field can be hard to assess, in particular when many concurrent methods are proposed in a short period of time. This is the case in digital pathology, where many foundation models have been released recently to serve as feature extractors for tile-level images, being used in a…

Cited by 0SourcecodeScholar
2024

AutoNeRF: Training Implicit Scene Representations with Autonomous Agents

IROS 2024

Implicit representations such as Neural Radiance Fields (NeRF) allow to map color, density and semantics in a 3D scene through a continuous neural function. However, these models typically require manual and careful human data collection for training. This paper addresses the problem of active explo

Cited by 16SourcecodeScholar
2024

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

CVPR 2024poster

Successfully addressing a wide variety of tasks is a core ability of autonomous agents requiring flexibly adapting the underlying decision-making strategies and as we argue in this work also adapting the perception modules. An analogical argument would be the human visual system which uses top-down…

Cited by 4SourcePDFScholar
2023

Multi-Object Navigation with Dynamically Learned Neural Implicit Representations

ICCV 2023poster

Understanding and mapping a new environment are core abilities of any autonomously navigating agent. While classical robotics usually estimates maps in a stand-alone manner with SLAM variants, which maintain a topological or metric representation, end-to-end learning of navigation keeps some form of…

Cited by 19PDFcodeScholar
2022

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

IROS 2022poster

In the context of visual navigation, the capacity to map a novel environment is necessary for an agent to exploit its observation history in the considered place and efficiently reach known goals. This ability can be associated with spatial rea-soning, where an agent is able to perceive spatial rela…

Cited by 29SourcecodeScholar
2020

DeepLPF: Deep Local Parametric Filters for Image Enhancement

CVPR 2020poster

Digital artists often improve the aesthetic quality of digital photographs through manual retouching. Beyond global adjustments, professional image editing programs provide local adjustment tools operating on specific parts of an image. Options include parametric (graduated, radial filters) and unco…

Cited by 289PDFScholar