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20162026
most citedAdan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

63 citations · 490 across the 60 of their papers we have counts for

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Showing 2018 · cs.CVShow all

7 papers · 2 filters

cs.CV2018

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution

Zhisheng Zhong, Tiancheng Shen, Yibo Yang +2

Convolutional neural networks (CNNs) have recently achieved great success in single-image super-resolution (SISR). However, these methods tend to produce over-smoothed outputs and…

cs.CV2018

Optimization Algorithm Inspired Deep Neural Network Structure Design

Huan Li, Yibo Yang, Dongmin Chen +1

Deep neural networks have been one of the dominant machine learning approaches in recent years. Several new network structures are proposed and have better performance than the tra…

cs.CV2018

On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems

Risheng Liu, Shichao Cheng, Yi He +3

Numerous tasks at the core of statistics, learning and vision areas are specific cases of ill-posed inverse problems. Recently, learning-based (e.g., deep) iterative methods have b…

cs.CV2018

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

Xia Li, Jianlong Wu, Zhouchen Lin +2

Rain streaks can severely degrade the visibility, which causes many current computer vision algorithms fail to work. So it is necessary to remove the rain from images. We propose a…

cs.CV2018

Essential Tensor Learning for Multi-view Spectral Clustering

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Multi-view clustering attracts much attention recently, which aims to take advantage of multi-view information to improve the performance of clustering. However, most recent work m…

cs.CV2018

Subspace Clustering by Block Diagonal Representation

Canyi Lu, Jiashi Feng, Zhouchen Lin +2

This paper studies the subspace clustering problem. Given some data points approximately drawn from a union of subspaces, the goal is to group these data points into their underlyi…