During the last decades, the research community of medical imaging has witnessed
continuous advances in image registration methods, which pushed the limits of the state-of …

This paper proposes a novel model and dataset for 3D scene flow estimation with an
application to autonomous driving. Taking advantage of the fact that outdoor scenes often …

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 …

Our personal social networks are big and cluttered, and currently there is no good way to
organize them. Social networking sites allow users to manually categorize their friends into …

Optical flow estimation is one of the oldest and still most active research domains in
computer vision. In 35 years, many methodological concepts have been introduced and …

An important aspect of human perception is anticipation, which we use extensively in our
day-to-day activities when interacting with other humans as well as with our surroundings …

Consumer-level and high-end light-field cameras are now widely available. Recent work
has demonstrated practical methods for passive depth estimation from light-field images …

Understanding human activities and object affordances are two very important skills,
especially for personal robots which operate in human environments. In this work, we …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical
sensitivity and spatial localisation of group studies, and cortical surface-based alignment …