As an emerging and challenging problem in the computer vision community, weakly
supervised object localization and detection plays an important role for developing new …

Face detection has been one of the most studied topics in the computer vision literature. In
this technical report, we survey the recent advances in face detection for the past decade …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …

We present a novel unified framework for both static and space-time saliency detection. Our
method is a bottom-up approach and computes so-called local regression kernels (ie, local …

We propose a shape-based, hierarchical part-template matching approach to simultaneous
human detection and segmentation combining local part-based and global shape-template …

In this paper, we address the problem of multiperson tracking in busy pedestrian zones
using a stereo rig mounted on a mobile platform. The complexity of the problem calls for an …

Object localization and segmentation in weakly labeled videos are two interesting yet
challenging tasks. Models built for simultaneous object localization and segmentation have …

Images of scenes have various objects as well as abundant attributes, and diverse levels of
visual categorization are possible. A natural image could be assigned with fine-grained …

A novel framework is proposed for the design of cost-sensitive boosting algorithms. The
framework is based on the identification of two necessary conditions for optimal cost …