A rich behavioral literature has shown that human object recognition is supported by a
representation of shape that is tolerant to variations in an object's appearance …

With the increasing global attention on sustainability, biocomposites have been touted as a
solution to deal with the issues of unsustainable raw material production, product …

In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike
all existing methods which usually require a large amount of human annotations for full …

3D symmetry detection is a fundamental problem in computer vision and graphics. Most
prior works detect symmetry when the object model is fully known, few studies symmetry …

Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …

A hallmark of human object perception is sensitivity to the holistic configuration of the local
shape features of an object. Deep convolutional neural networks (DCNNs) are currently the …

Perceptual organization is a challenging visual task that aims to perceive and group the
individual visual element so that it is easy to understand the meaning of the scene as a …

Following traumatic brain injury in adulthood, Pierrette Sapey (PS) became suddenly unable
to recognize the identity of people from their faces. Thanks to her remarkable recovery of …

Vision and learning have long been considered to be two areas of research linked only
distantly. However, recent developments in vision research have changed the conceptual …

In this chapter, we describe how the individual's active involvement with works of art
contributes to the experience of them. Based on a review of recent experimental work, we …