121 citations · 136 across the 3 of their papers we have counts for
3 papers
cs.LG2018★ 2 cited
Learning D-FilterMap for Deep Convolutional Neural Networks
Yingzhen Yang, Jianchao Yang, Ning Xu +1
We present a novel and compact architecture for deep Convolutional Neural Networks (CNNs) in this paper, termed D-FilterMap Convolutional Neural Networks (D-FM-CNNs). The con…
cs.AI2017★ 121 cited
Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang, Wei Han +7
Learning with recurrent neural networks (RNNs) on long sequences is a notoriously difficult task. There are three major challenges: 1) complex dependencies, 2) vanishing and explod…
cs.LG2015★ 13 cited
Self-Tuned Deep Super Resolution
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang +4
Deep learning has been successfully applied to image super resolution (SR). In this paper, we propose a deep joint super resolution (DJSR) model to exploit both external and self s…