19 citations · 21 across the 7 of their papers we have counts for
4 papers · 1 filter
Learning Joint Representation of Human Motion and Language
Jihoon Kim, Youngjae Yu, Seungyoun Shin +2
In this work, we present MoLang (a Motion-Language connecting model) for learning joint representation of human motion and language, leveraging both unpaired and paired datasets of…
Polyblur: Removing mild blur by polynomial reblurring
Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi +2
We present a highly efficient blind restoration method to remove mild blur in natural images. Contrary to the mainstream, we focus on removing slight blur that is often present, da…
Fast, Trainable, Multiscale Denoising
Sungjoon Choi, John Isidoro, Pascal Getreuer +1
Denoising is a fundamental imaging problem. Versatile but fast filtering has been demanded for mobile camera systems. We present an approach to multiscale filtering which allows re…
BLADE: Filter Learning for General Purpose Computational Photography
Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro +3
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, Isidoro, and Milanfar is a computationally efficient image upscaling method using a trained set of filters.…