MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks

12 January 2022

Papers citing "MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks"

4 / 4 papers shown

Title
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report Andrey D. Ignatov Andrés Romero Heewon Kim Radu Timofte C. Ho ... Xiumei Wang Jiaming Guo Xueyi Zhou Hao Jia Youliang Yan SupR 39 53 0 17 May 2021
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian Xinyu Lin Yanzhi Wang Bin Ren MQ 93 228 0 01 Jan 2020
AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey D. Ignatov Radu Timofte William Chou Ke Wang Max Wu Tim Hartley Luc Van Gool ELM 73 323 0 02 Oct 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 326 5,239 0 16 Sep 2016