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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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10
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Image Super-Resolution Using Very Deep Residual Channel Attention Networks
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2018
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Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Yun Fu
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7
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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6
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Squeeze-and-Excitation Networks
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2019
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Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
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6
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Accurate Image Super-Resolution Using Very Deep Convolutional Networks
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2016
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Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
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4
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Density-Aware Single Image De-raining Using a Multi-stream Dense Network
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2018
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He Zhang
Vishal M. Patel
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4
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Multi-Scale Progressive Fusion Network for Single Image Deraining
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2020
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Kui Jiang
Zhongyuan Wang
Peng Yi
Chen Chen
Baojin Huang
Yimin Luo
Jiayi Ma
Junjun Jiang
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4
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Xception: Deep Learning with Depthwise Separable Convolutions
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2017
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François Chollet
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4
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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4
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Enhanced Deep Residual Networks for Single Image Super-Resolution
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2017
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Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
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3
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Densely Connected Convolutional Networks
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2017
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Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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3
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Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
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2016
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Wenzhe Shi
JosĂŠ Caballero
Ferenc HuszĂĄr
Johannes Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
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3
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Deep Joint Rain Detection and Removal from a Single Image
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2017
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Wenhan Yang
Robby T. Tan
Jiashi Feng
Jiaying Liu
Zongming Guo
Shuicheng Yan
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3
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Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
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2018
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Xia Li
Jianlong Wu
Zhouchen Lin
Hong Liu
Hongbin Zha
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3
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MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution
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2020
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Juncheng Li
Faming Fang
Jiaqian Li
Kangfu Mei
Guixu Zhang
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3
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Rethinking the Inception Architecture for Computer Vision
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2016
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Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
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3
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Seven Ways to Improve Example-Based Single Image Super Resolution
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2016
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Radu Timofte
Rasmus Rothe
Luc Van Gool
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3
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Efficient and Accurate Multi-Scale Topological Network for Single Image Dehazing
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2021
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Qiaosi Yi
Juncheng Li
Faming Fang
Aiwen Jiang
Guixu Zhang
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3
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Towards Evaluating the Robustness of Neural Networks
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2017
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Nicholas Carlini
David Wagner
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3
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Residual Dense Network for Image Super-Resolution
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2018
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Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Yun Fu
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3
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Progressive Image Deraining Networks: A Better and Simpler Baseline
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2019
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Dongwei Ren
Wangmeng Zuo
Qinghua Hu
Pengfei Zhu
Deyu Meng
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3
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Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
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2017
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Xueyang Fu
JiaâBin Huang
Xinghao Ding
Yinghao Liao
John Paisley
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3
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Adversarial Machine Learning at Scale
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2016
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Alexey Kurakin
Ian Goodfellow
Samy Bengio
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2
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Dilated Residual Networks
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2017
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Fisher Yu
Vladlen Koltun
Thomas Funkhouser
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2
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Exploring the space of adversarial images
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2016
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Pedro Tabacof
Eduardo Valle
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2
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Multi-Task Learning as Multi-Objective Optimization
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2018
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Ozan Ĺener
Vladlen Koltun
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2
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On Detecting Adversarial Perturbations
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2017
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Jan Hendrik Metzen
Tim Genewein
Volker Fischer
Bastian Bischoff
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2
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Multi-Scale Deep Neural Networks for Real Image Super-Resolution
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2019
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Shangqi Gao
Xiahai Zhuang
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2
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Densely Connected Pyramid Dehazing Network
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2018
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He Zhang
Vishal M. Patel
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2
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A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
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2017
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Jo Schlemper
JosĂŠ Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
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2
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Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset
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2019
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Tianyu Wang
Xin Yang
Ke Xu
Shaozhe Chen
Qiang Zhang
Rynson W. H. Lau
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2
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Selective Kernel Networks
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2019
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Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
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2
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MagNet: a Two-Pronged Defense against Adversarial Examples
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2017
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Dongyu Meng
Hao Chen
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2
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Gated Fusion Network for Single Image Dehazing
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2018
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Wenqi Ren
Lin Ma
Jiawei Zhang
Jinshan Pan
Xiaochun Cao
Wei Liu
MingâHsuan Yang
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2
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CBAM: Convolutional Block Attention Module
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2018
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Sanghyun Woo
Jongchan Park
JoonâYoung Lee
In So Kweon
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2
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Image Super-Resolution via Dual-State Recurrent Networks
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2018
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Wei Han
Shiyu Chang
Ding Liu
Mo Yu
Michael Witbrock
Thomas S. Huang
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2
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SegStereo: Exploiting Semantic Information for Disparity Estimation
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2018
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Guorun Yang
Hengshuang Zhao
Jianping Shi
Zhidong Deng
Jiaya Jia
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2
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Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
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2017
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Guy Katz
Clark Barrett
David L. Dill
Kyle D. Julian
Mykel J. Kochenderfer
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2
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The Space of Transferable Adversarial Examples
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2017
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Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
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2
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Learning a no-reference quality metric for single-image super-resolution
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2017
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Chao Ma
ChihâYuan Yang
Xiaokang Yang
MingâHsuan Yang
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2
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr DollĂĄr
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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2
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Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
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2017
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WeiâSheng Lai
JiaâBin Huang
Narendra Ahuja
MingâHsuan Yang
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2
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Squeeze-and-Excitation Networks
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2018
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Jie Hu
Li Shen
Gang Sun
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2
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The Perception-Distortion Tradeoff
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2018
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Yochai Blau
Tomer Michaeli
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2
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Analysis of universal adversarial perturbations
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2017
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Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
Pascal Frossard
Stefano Soatto
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2
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Deep Learning for Single Image Super-Resolution: A Brief Review
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2019
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Wenming Yang
Xuechen Zhang
Yapeng Tian
Wei Wang
JingâHao Xue
Qingmin Liao
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2
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Accelerating the Super-Resolution Convolutional Neural Network
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2016
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Chao Dong
Chen Change Loy
Xiaoou Tang
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2
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Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
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2016
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Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
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2
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Adversarial examples in the physical world
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2016
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Alexey Kurakin
Ian Goodfellow
Samy Bengio
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2
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DehazeNet: An End-to-End System for Single Image Haze Removal
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2016
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Bolun Cai
Xiangmin Xu
Kui Jia
Chunmei Qing
Dacheng Tao
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2
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