Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

In recent years, tremendous progress has been made in surgical practice for example with
Minimally Invasive Surgery (MIS). To overcome challenges coming from deported eye-to …

Pedestrian detection in crowded scenes is a challenging problem since the pedestrians
often gather together and occlude each other. In this paper, we propose a new occlusion …

The goal of this paper is to perform 3D object detection in single monocular images in the
domain of autonomous driving. Our method first aims to generate a set of candidate class …

Multispectral images of color-thermal pairs have shown more effective than a single color
channel for pedestrian detection, especially under challenging illumination conditions …

The goal of this paper is to generate high-quality 3D object proposals in the context of
autonomous driving. Our method exploits stereo imagery to place proposals in the form of …

Big data has had a great share in the success of deep learning in computer vision. Recent
works suggest that there is significant further potential to increase object detection …

Recent advances in pedestrian detection are attained by transferring the learned features of
Convolutional Neural Network (ConvNet) to pedestrians. This ConvNet is typically pre …

The goal of this paper is to perform 3D object detection in the context of autonomous driving.
Our method aims at generating a set of high-quality 3D object proposals by exploiting stereo …

Encouraged by the recent progress in pedestrian detection, we investigate the gap between
current state-of-the-art methods and the" perfect single frame detector". We enable our …