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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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AI Benchmark: All About Deep Learning on Smartphones in 2019
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2019
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Andrey Ignatov
Radu Timofte
Andrei Kulik
Seungsoo Yang
Ke Wang
Felix Baum
Max Wu
Lirong Xu
Luc Van Gool
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4
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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
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2019
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Andrey Ignatov
Radu Timofte
Thang Vu
Tung M. Luu
Trung X. Pham
Cao Van Nguyen
Yongwoo Kim
Jae-Seok Choi
Munchurl Kim
Jie Huang
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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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4
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Deeply-Recursive Convolutional Network for Image Super-Resolution
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2016
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Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
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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
José Caballero
Ferenc HuszĂĄr
Johannes Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
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3
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Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
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2018
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Namhyuk Ahn
Byungkon Kang
Kyung-Ah Sohn
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3
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Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
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2018
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Benoit Jacob
Skirmantas Kligys
Bo Chen
Menglong Zhu
Matthew F. Tang
Andrew Howard
Hartwig Adam
Dmitry Kalenichenko
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3
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Residual Non-local Attention Networks for Image Restoration
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2019
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Yulun Zhang
Kunpeng Li
Kai Li
Bineng Zhong
Yun Fu
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3
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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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3
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Fast and Accurate Single Image Super-Resolution via Information Distillation Network
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2018
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Hui Zheng
Wang Xiu
Xinbo Gao
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3
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MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
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2020
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Wenhui Wang
Furu Wei
Li Dong
Hangbo Bao
Nan Yang
Ming Zhou
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3
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EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
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2017
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Mehdi S. M. Sajjadi
Bernhard Schölkopf
Michael Hirsch
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2
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Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
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2021
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Andrey Ignatov
Byeoung-Su Kim
Radu Timofte
Angéline Pouget
Fenglong Song
Cheng Li
Shuai Xiao
Zhongqian Fu
Matteo Maggioni
Yibin Huang
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2
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Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
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2021
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Andrey Ignatov
Radu Timofte
Maurizio Denna
Abdel Younes
Andrew Lek
Mustafa AyazoÄlu
Jie Liu
Zongcai Du
Jiaming Guo
Xueyi Zhou
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2
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Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
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2021
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Andrey Ignatov
Grigory Malivenko
Radu Timofte
Sheng Chen
Xin Xia
Liu Zhao-yan
Yuwei Zhang
Feng Zhu
Jiashi Li
Xuefeng Xiao
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2
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Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
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2021
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Andrey Ignatov
ChengâMing Chiang
Hsien-Kai Kuo
Anastasia Sycheva
Radu Timofte
Min-Hung Chen
Man-Yu Lee
Yu-Syuan Xu
Yu Tseng
Shusong Xu
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2
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Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
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2021
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Andrey Ignatov
Andrés Romero
Heewon Kim
Radu Timofte
Chiu Man Ho
Zibo Meng
Kyoung Mu Lee
Yuxiang Chen
Yutong Wang
Zeyu Long
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2
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Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
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2021
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Mustafa AyazoÄlu
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2
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Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.
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2021
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Andrey Ignatov
Grigory Malivenko
David Plowman
Samarth Shukla
Radu Timofte
Ziyu Zhang
Yicheng Wang
Zilong Huang
Guozhong Luo
Gang Yu
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2
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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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2
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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2017
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Christian Ledig
Lucas Theis
Ferenc HuszĂĄr
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
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2
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WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
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2018
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Andrey Ignatov
Nikolay Kobyshev
Radu Timofte
Kenneth Vanhoey
Luc Van Gool
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2
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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2015
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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MnasNet: Platform-Aware Neural Architecture Search for Mobile
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2019
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Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew Howard
Quoc V. Le
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2
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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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2
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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2
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MemNet: A Persistent Memory Network for Image Restoration
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2017
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Ying Tai
Jian Yang
Xiaoming Liu
Chunyan Xu
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2
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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
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2019
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Bichen Wu
Kurt Keutzer
Xiaoliang Dai
Peizhao Zhang
Yanghan Wang
Fei Sun
Yiming Wu
Yuandong Tian
PĂ©ter Vajda
Yangqing Jia
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2
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Efficient Super Resolution Using Binarized Neural Network
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2019
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Yinglan Ma
Hongyu Xiong
Zhe Hu
Lizhuang Ma
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2
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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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2
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MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
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2019
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Zechun Liu
Haoyuan Mu
Xiangyu Zhang
Zichao Guo
Xin Yang
KwangâTing Cheng
Jian Sun
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2
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Learning Filter Basis for Convolutional Neural Network Compression
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2019
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Yawei Li
Shuhang Gu
Luc Van Gool
Radu Timofte
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2
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Mixed Precision DNNs: All you need is a good parametrization
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2019
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Stefan Uhlich
Lukas Mauch
Fabien Cardinaux
Kazuki Yoshiyama
Javier Alonso GarcĂa
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
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2
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Self-Distillation Amplifies Regularization in Hilbert Space
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2020
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Hossein Mobahi
Mehrdad Farajtabar
Peter L. Bartlett
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2
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Robust Quantization: One Model to Rule Them All
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2020
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Moran Shkolnik
Brian Chmiel
Ron Banner
Gil Shomron
Yury Nahshan
Alex Bronstein
Uri Weiser
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2
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AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
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2019
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Kai Zhang
Shuhang Gu
Radu Timofte
Hui Zheng
Wang Xiu
Xinbo Gao
Dongliang Xiong
Shuai Liu
Ruipeng Gang
Nan Nan
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2
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NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
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2020
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Kai Zhang
Shuhang Gu
Radu Timofte
Taizhang Shang
Qiuju Dai
Shengchen Zhu
Tong Yang
Yandong Guo
Younghyun Jo
Sejong Yang
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2
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Image Super-Resolution Using Deep Convolutional Networks
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2015
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Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
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2
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
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2020
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Abdelrahman Abdelhamed
Mahmoud Afifi
Radu Timofte
Michael S. Brown
Yue Cao
Zhilu Zhang
Wangmeng Zuo
Xiaoling Zhang
Jiye Liu
Wendong Chen
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2
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NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
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2020
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Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
Jie Cai
Yun Cao
Junyang Chen
Kaihua Cheng
SeYoung Chun
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2
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FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
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2020
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Alvin Wan
Xiaoliang Dai
Peizhao Zhang
Zijian He
Yuandong Tian
Saining Xie
Bichen Wu
Matthew Yu
Tao Xu
Kan Chen
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2
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ZeroQ: A Novel Zero Shot Quantization Framework
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2020
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Yaohui Cai
Zhewei Yao
Zhen Dong
Amir Gholami
Michael W. Mahoney
Kurt Keutzer
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2
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Rendering Natural Camera Bokeh Effect with Deep Learning
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2020
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Andrey Ignatov
Jagruti Patel
Radu Timofte
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2
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T-Basis: a Compact Representation for Neural Networks
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2020
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Anton Obukhov
Maxim Rakhuba
Menelaos Kanakis
Stamatios Georgoulis
Dengxin Dai
Luc Van Gool
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2
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Replacing Mobile Camera ISP with a Single Deep Learning Model
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2020
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Andrey Ignatov
Luc Van Gool
Radu Timofte
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2
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Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
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2020
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ChengâMing Chiang
Yu Tseng
Yu-Syuan Xu
Hsien-Kai Kuo
Yi-Min Tsai
GuanâYu Chen
Koan-Sin Tan
Weiting Wang
Yu-Chieh Lin
Shou-Yao Roy Tseng
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2
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Directional Pruning of Deep Neural Networks
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2020
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Shih-Kang Chao
Zhanyu Wang
Yue Xing
Guang Cheng
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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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MLPerf Inference Benchmark
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2020
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Vijay Janapa Reddi
Christine Cheng
David Kanter
Peter Mattson
Guenther Schmuelling
Carole-Jean Wu
Brian A. Anderson
Maximilien Breughe
Mark Charlebois
William Chou
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2
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