73 citations · 212 across the 46 of their papers we have counts for
4 papers · 1 filter
Semi- and Weakly-supervised Human Pose Estimation
Norimichi Ukita, Yusuke Uematsu
For human pose estimation in still images, this paper proposes three semi- and weakly-supervised learning schemes. While recent advances of convolutional neural networks improve hu…
Deep Back-Projection Networks for Single Image Super-resolution
Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
Previous feed-forward architectures of recently proposed deep super-resolution networks learn the features of low-resolution inputs and the non-linear mapping from those to a high-…
Recurrent Back-Projection Network for Video Super-Resolution
Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
We proposed a novel architecture for the problem of video super-resolution. We integrate spatial and temporal contexts from continuous video frames using a recurrent encoder-decode…
Human Pose Estimation using Motion Priors and Ensemble Models
Norimichi Ukita
Human pose estimation in images and videos is one of key technologies for realizing a variety of human activity recognition tasks (e.g., human-computer interaction, gesture recogni…