Video provides not only rich visual cues such as motion and appearance, but also much less
explored long-range temporal interactions among objects. We aim to capture such …

This book provides an introduction to human visual perception suitable for readers studying
or working in the fields of computer graphics and visualization, cognitive science, and visual …

In this work we propose a learning-based approach to symmetry detection in natural images.
We focus on ribbon-like structures, ie contours marking local and approximate reflection …

Although learning-based light field disparity estimation has achieved great progress in the
most recent years, the performance of unsupervised light field learning is still hindered by …

This paper provides a unified framework for the interrelated topics of action spotting, the
spatiotemporal detection and localization of human actions in video, and action recognition …

For two consecutive frames in a video, we identify which pixels in the first frame become
occluded in the second. Such general-purpose detection of occlusion regions is difficult and …

While great strides have been made in detecting and localizing specific objects in natural
images, the bottom-up segmentation of unknown, generic objects remains a difficult …

While hand-drawn cel animation is a world-wide popular form of art and entertainment,
introducing stereoscopic effect into it remains difficult and costly, due to the lack of physical …

We couple occlusion modeling and multi-frame motion estimation to compute dense,
temporally extended point trajectories in video with significant occlusions. Our approach …

We consider the problem of detecting and accounting for the presence of occluders in a 3D
scene based on silhouette cues in video streams obtained from multiple, calibrated views …