Reconstructing the 3D shape of human faces is an intensively researched topic. Most approaches aim at generating a closed surface representation of geometry, i.e. a mesh, which is...
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
We present a new image morphing approach in which the output sequence is regenerated from small pieces of the two source (input) images. The approach does not require manual corre...
Eli Shechtman, Steve Seitz, Alex Rav-Acha, Michal ...
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the ...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...