Object class detection, also known as category-level object detection, has become one of
the most focused areas in computer vision in the new century. This article attempts to …

Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …

Abstract 'Which are the pedestrian detectors that yield a precision above 95% at 25%
recall?'Answering such a complex query involves identifying and analyzing the results …

Both image segmentation and dense 3D modeling from images represent an intrinsically ill-
posed problem. Strong regularizers are therefore required to constrain the solutions from …

Obstacle detection plays an important role in unmanned surface vehicles (USVs). The USVs
operate in a highly diverse environments in which an obstacle may be a floating piece of …

We propose a novel way to induce a random field from an energy function on discrete
labels. It amounts to locally injecting noise to the energy potentials, followed by finding the …

Deep learning methods have achieved impressive performance for multi-class medical
image segmentation. However, they are limited in their ability to encode topological …

This paper addresses scene understanding in the context of a moving camera, integrating
semantic reasoning ideas from monocular vision with 3D information available through …

Both image segmentation and dense 3D modeling from images represent an intrinsically ill-
posed problem. Strong regularizers are therefore required to constrain the solutions from …

Dense 3D data as delivered by stereo vision systems, modern laser scanners or timeof-flight
cameras such as PMD is a key element for 3D scene understanding. Real-time high-level …