A random walk is known as a random process which describes a path including a
succession of random steps in the mathematical space. It has increasingly been popular in …

Many biological applications require the segmentation of cell bodies, membranes and nuclei
from microscopy images. Deep learning has enabled great progress on this problem, but …

Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …

Human action in video sequences can be seen as silhouettes of a moving torso and
protruding limbs undergoing articulated motion. We regard human actions as three …

We introduce the Wave Kernel Signature (WKS) for characterizing points on non-rigid three-
dimensional shapes. The WKS represents the average probability of measuring a quantum …

Skeletonization provides an effective and compact representation of objects, which is useful
for object description, retrieval, manipulation, matching, registration, tracking, recognition …

We summarize the properties of eigenvalues and eigenfunctions of the Laplace operator in
bounded Euclidean domains with Dirichlet, Neumann, or Robin boundary condition. We …

Real-world actions occur often in crowded, dynamic environments. This poses a difficult
challenge for current approaches to video event detection because it is difficult to segment …

Shape similarity and shape retrieval are very important topics in computer vision. The recent
progress in this domain has been mostly driven by designing smart shape descriptors for …

Laplacian matrices of graphs arise in large-scale computational applications such as
semisupervised machine learning; spectral clustering of images, genetic data, and web …