Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …

We present an approach to discover and segment foreground object (s) in video. Given an
unannotated video sequence, the method first identifies object-like regions in any frame …

Robust organ segmentation is a prerequisite for computer-aided diagnosis, quantitative
imaging analysis, pathology detection, and surgical assistance. For organs with high …

Estimating human pose from videos and image sequences is not only an important
computer vision problem, but also plays very critical role in many real-world applications …

We present a multi-instance object segmentation algorithm to tackle occlusions. As an object
is split into two parts by an occluder, it is nearly impossible to group the two separate regions …

Semantic object segmentation in video is an important step for large-scale multimedia
analysis. In many cases, however, semantic objects are only tagged at video-level, making …

We introduce a category-independent shape prior for object segmentation. Existing shape
priors assume class-specific knowledge, and thus are restricted to cases where the object …

Interactions among pedestrians usually play an important role in understanding crowd
behavior. However, there are great challenges, such as occlusions, motion, and appearance …

We present an algorithm that carries out alternate Hough transform and inverted Hough
transform to establish feature correspondences, and enhances the quality of matching in …

Image feature correspondence selection is pivotal to many computer vision tasks from object
recognition to 3D reconstruction. Although many correspondence selection algorithms have …