Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …

Visual saliency analysis detects salient regions/objects that attract human attention in
natural scenes. It has attracted intensive research in different fields such as computer vision …

In this paper, we introduce a method to detect co-saliency from an image pair that may have
some objects in common. The co-saliency is modeled as a linear combination of the single …

We investigated the possibility that a range of social stimuli capture the attention of 6-month-
old infants when in competition with other non-face objects. Infants viewed a series of six …

In this paper, we propose a novel method to discover co-salient objects from a group of
images, which is modeled as a linear fusion of an intra-image saliency (IaIS) map and an …

This paper presents a novel method for detecting salient regions in both images and videos
based on a discriminant center-surround hypothesis that the salient region stands out from …

Head detection plays an important role in localizing and identifying persons from visual data.
Most existing methods treat head detection as a specific form of object detection. Head …

This letter presents a noise-robust descriptor by exploring a set of local contrast patterns
(LCPs) via global measures for texture classification. To handle image noise, the directed …

Saliency detection has been extensively studied due to its promising contributions for
various computer vision applications. However, most existing methods are easily biased …