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

51 citations · 148 across the 14 of their papers we have counts for

collaborators

15 papers

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.CV2025

Dynamic Exploration on Segment-Proposal Graphs for Tubular Centerline Tracking

Chong Di, Jinglin Zhang, Zhenjiang Li +3

Optimal curve methods provide a fundamental framework for tubular centerline tracking. Point-wise approaches, such as minimal paths, are theoretically elegant but often suffer from…

cs.CV2023

Grouping Boundary Proposals for Fast Interactive Image Segmentation

Li Liu, Da Chen, Minglei Shu +1

Geodesic models are known as an efficient tool for solving various image segmentation problems. Most of existing approaches only exploit local pointwise image features to track geo…

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.CV2021

Geodesic Models with Convexity Shape Prior

Da Chen, Jean-Marie Mirebeau, Minglei Shu +2

The minimal geodesic models based on the Eikonal equations are capable of finding suitable solutions in various image segmentation scenarios. Existing geodesic-based segmentation a…

cs.CV2020★ 20 cited

Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement

Da Chen, Jian Zhu, Xinxin Zhang +2

Minimal paths are regarded as a powerful and efficient tool for boundary detection and image segmentation due to its global optimality and the well-established numerical solutions…