activity
20162026
most citedGlobal Minimum for a Finsler Elastica Minimal Path Approach

51 citations · 153 across the 17 of their papers we have counts for

collaborators

18 papers

cs.CV2026

Mask Proposal Voting Based on Geodesic Framework for Robust Image Segmentation

Li Liu, Mingzhu Wang, Zhenjiang Li +2

Despite great advances, finding accurate segmentation remains a challenging task, especially in scenarios with cluttered backgrounds, complex intensity variations and topology appe…

cs.RO2026

Computing Smooth Geodesics under Two-Sided Curvature Bounds with Applications to Robotics and Image Analysis

Da Chen, Zhenjiang Li, Jean-Marie Mirebeau +4

Curvature of planar curves serves as a key regularization term for computing second-order minimal paths, due to its tight relevance to desirable geometric properties such as smooth…

cs.CV2026

Geodesics with Unified Tangent-constrained Priors and Curvature Regularization

Chong Di, Li Liu, Jinglin Zhang +3

Curvature-penalized geodesic models have proven their effectiveness in image segmentation by computing globally optimal curves. Unfortunately, these models remain susceptible to sh…

cs.CG2023

Computing Geodesic Paths Encoding a Curvature Prior

Da Chen, Jean-Marie Mirebeau, Minglei Shu +1

In this paper, we introduce an efficient method for computing curves minimizing a variant of the Euler-Mumford elastica energy, with fixed endpoints and tangents at these endpoints…

cs.CV2023★ 3 cited

Fast Marching Energy CNN

Nicolas Makaroff, Théo Bertrand, Laurent D. Cohen

Leveraging geodesic distances and the geometrical information they convey is key for many data-oriented applications in imaging. Geodesic distance computation has been used for lon…

eess.IV2023

Chan-Vese Attention U-Net: An attention mechanism for robust segmentation

Nicolas Makaroff, Laurent D. Cohen

When studying the results of a segmentation algorithm using convolutional neural networks, one wonders about the reliability and consistency of the results. This leads to questioni…