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Pascal Fua

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0002-6702-9970
same name
  • Pascal Fua — 16 papers, h 5
  • Pascal Fua — 15 papers, h 5
  • Pascal Fua — 11 papers, h 4
  • Pascal Fua — 7 papers, h 2
  • Pascal Fua — 5 papers, h 2
  • Pascal Fua — 4 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTemplate-based Monocular 3D Shape Recovery using Laplacian Meshes

57 citations · 98 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 35 cited

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang +154

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…

cs.CV2023

Pairwise-Constrained Implicit Functions for 3D Human Heart Modelling

Hieu Le, Jingyi Xu, Nicolas Talabot +2

Accurate 3D models of the human heart require not only correct outer surfaces but also realistic inner structures, such as the ventricles, atria, and myocardial layers. Approaches…

cs.CV2015★ 57 cited

Template-based Monocular 3D Shape Recovery using Laplacian Meshes

Dat Tien Ngo, Jonas Ostlund, Pascal Fua

We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction o…

cs.CV2015★ 6 cited

Globally Optimal Cell Tracking using Integer Programming

Engin Türetken, Xinchao Wang, Carlos Becker +2

We propose a novel approach to automatically tracking cell populations in time-lapse images. To account for cell occlusions and overlaps, we introduce a robust method that generate…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.