27 citations · 51 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
Active Learning for Deep Visual Tracking
Di Yuan, Xiaojun Chang, Yi Yang +3
Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous label…
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…
A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation
Da Chen, Jack Spencer, Jean-Marie Mirebeau +3
The Voronoi diagram-based dual-front active contour models are known as a powerful and efficient way for addressing the image segmentation and domain partitioning problems. In the…