60 citations · 98 across the 8 of their papers we have counts for
3 papers · 1 filter
Variable Rate Deep Image Compression With a Conditional Autoencoder
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
In this paper, we propose a novel variable-rate learned image compression framework with a conditional autoencoder. Previous learning-based image compression methods mostly require…
Learning with Succinct Common Representation Based on Wyner's Common Information
J. Jon Ryu, Yoojin Choi, Young-Han Kim +2
A new bimodal generative model is proposed for generating conditional and joint samples, accompanied with a training method with learning a succinct bottleneck representation. The…
Jointly Sparse Convolutional Neural Networks in Dual Spatial-Winograd Domains
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
We consider the optimization of deep convolutional neural networks (CNNs) such that they provide good performance while having reduced complexity if deployed on either conventional…