Manipulation of deformable objects has given rise to an important set of open problems in
the field of robotics. Application areas include robotic surgery, household robotics …

Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …

Recent years have witnessed a big leap in automatic visual saliency detection attributed to
advances in deep learning, especially Convolutional Neural Networks (CNNs). However …

Abstracting complex 3D shapes with parsimonious part-based representations has been a
long standing goal in computer vision. This paper presents a learning-based solution to this …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

To study forms in plants and other living organisms, several mathematical tools are
available, most of which are general tools that do not take into account valuable biological …

Humans perceive the 3D world as a set of distinct objects that are characterized by various
low-level (geometry, reflectance) and high-level (connectivity, adjacency, symmetry) …

Planning realizable and stable grasps on 3D objects is crucial for many robotics
applications, but grasp planners often ignore the relative sizes of the robotic hand and the …

Abstract Accurate segmentation of 2-D, 3-D, and 4-D medical images to isolate anatomical
objects of interest for analysis is essential in almost any computer-aided diagnosis system or …

Automatic prostate segmentation in ultrasound images is a challenging task due to speckle
noise, missing boundary segments, and complex prostate anatomy. One popular approach …