Hi! I'm Nicolas, a PhD student in CVLab, EPFL, supervised by Prof. Pascal Fua. I mostly work on deep learning for 3D shape representation, with a focus on its application to shape design and optimization.

Before this, I did my Bachelor and Master degrees at EPFL, taking courses and projects related to robotics, computer vision, machine learning and deep learning.

You can check my EPFL page, or Google scholar.

Publications

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling

Hieu Le, Jingyi Xu, Nicolas Talabot, Jiancheng Yang, Pascal Fua

MICCAI 2025

[arXiv]

Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields

Corentin Dumery, Aoxiang Fan, Ren Li, Nicolas Talabot, Pascal Fua

CVPRW 2025

[Project] [arXiv] [Poster]

Neural Surface Detection for Unsigned Distance Fields

Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua

ECCV 2024

[Project] [arXiv]

Ascending neurons convey behavioral state to integrative sensory and action selection brain regions

Chin-Lin Chen, Florian Aymanns, Ryo Minegishi, Victor D. V. Matsuda, Nicolas Talabot, Semih Günel, Barry J. Dickson, Pavan Ramdya

Nature Neuroscience 2023

[Nature] [PDF]

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Subeesh Vasu*, Nicolas Talabot*, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua

3DV 2022

[Project] [arXiv] [Video]