Computing dense pixel-to-pixel image correspondences is a fundamental task of computer
vision. Often, the objective is to align image pairs from the same semantic category for …

This paper is the first to review the scene flow estimation field, which analyzes and
compares methods, technical challenges, evaluation methodologies and performance of …

We propose a new technique for computing dense scene flow from two handheld videos
with wide camera baselines and different photometric properties due to different sensors or …

We introduce a novel multiframe scene flow approach that jointly optimizes the consistency
of the patch appearances and their local rigid motions from RGB-D image sequences. In …

In the domain of supervised scene flow estimation, the process of manual labeling is both
time-intensive and financially demanding. This paper introduces SSFlowNet, a semi …

Light-field video has recently been used in virtual and augmented reality applications to
increase realism and immersion. However, existing light-field methods are generally limited …

This paper presents a method for dense 4D temporal alignment of partial reconstructions of
non-rigid surfaces observed from single or multiple moving cameras of complex scenes. 4D …

We introduce the first approach to solve the challenging problem of automatic 4D visual
scene understanding for complex dynamic scenes with multiple interacting people from multi …

Summary form only given. In spite of the hype and hysteria surrounding open source
software development, there is very little that can be said of open source in general. Open …

We introduce the first approach to solve the challenging problem of unsupervised 4D visual
scene understanding for complex dynamic scenes with multiple interacting people from multi …