Using techniques derived from the syntactic methods for visual pattern recognition is not
new and was much explored in the area called syntactical or structural pattern recognition …

This paper presents a method of learning reconfigurable hierarchical And-Or models to
integrate context and occlusion for car detection. The And-Or model represents the …

The analysis of 2D images consists of two processes: detection and recognition of detected
objects. Both stages allow for numerous applications in practical purposes, including …

This paper presents a method for learning an And-Or model to represent context and
occlusion for car detection and viewpoint estimation. The learned And-Or model represents …

In this paper, we address one of the most typical problems of person detection: scenarios
with the presence of groups of persons. In this kind of scenarios, traditional person detectors …

This paper proposes a multiple-object detection and tracking method that explicitly handles
dynamic occlusions. A context-based multiple-cue detector is proposed to detect occluded …

Occlusion has long been a core challenge for multi-target tracking tasks. In this paper we
present context-based tracking strategies and demonstrate those for two very different types …

In computer vision, the top three conferences (CVPR, ICCV, ECCV) are considered more
important and have greater impact than most SCI journals. Oral presentations have an …