no code implementations • CVPR 2017 • Dinghuang Ji, Junghyun Kwon, Max McFarland, Silvio Savarese
An encoder-decoder network then generates dense correspondences between the rectified images and blending masks to predict the visibility of pixels of the rectified images in the middle view.
no code implementations • CVPR 2016 • Filip Radenovic, Johannes L. Schonberger, Dinghuang Ji, Jan-Michael Frahm, Ondrej Chum, Jiri Matas
We present an algorithm that leverages the appearance variety to obtain more complete and accurate scene geometry along with consistent multi-illumination appearance information.
no code implementations • 22 May 2016 • Enliang Zheng, Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm
Given the smooth motion of dynamic objects, we observe any element in the dictionary can be well approximated by a sparse linear combination of other elements in the same dictionary (i. e. self-expression).
no code implementations • ICCV 2015 • Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm
We propose a framework for the automatic creation of time-lapse mosaics of a given scene.
no code implementations • ICCV 2015 • Enliang Zheng, Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm
We target the sparse 3D reconstruction of dynamic objects observed by multiple unsynchronized video cameras with unknown temporal overlap.