Drug-like compounds are most of the time denied approval and use owing to the
unexpected clinical side effects and cross-reactivity observed during clinical trials. These …

The distance transform (DT) is a general operator forming the basis of many methods in
computer vision and geometry, with great potential for practical applications. However, all …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Table detection is a crucial step in many document analysis applications as tables are used
for presenting essential information to the reader in a structured manner. It is a hard problem …

Automatic segmentation of cell nuclei is an essential step in image cytometry and histometry.
Despite substantial progress, there is a need to improve accuracy, speed, level of …

A sequential algorithm is presented for computing the exact Euclidean distance transform
(DT) of a k-dimensional binary image in time linear in the total number of voxels N. The …

We describe linear-time algorithms for solving a class of problems that involve transforming
a cost function on a grid using spatial information. These problems can be viewed as a …

We present a combined report on the results of three editions of the Cell Tracking
Challenge, an ongoing initiative aimed at promoting the development and objective …

Abstract Neural Scene Flow Prior (NSFP) is of significant interest to the vision community
due to its inherent robustness to out-of-distribution (OOD) effects and its ability to deal with …

Digital geometry is about deriving geometric information from digital pictures. The field
emerged from its mathematical roots some forty-years ago through work in computer-based …