ResearchTrend.AI
Standard compliant video coding using low complexity, switchable neural wrappers

Standard compliant video coding using low complexity, switchable neural wrappers

Yueyu Hu
Chenhao Zhang
O. Guleryuz
Debargha Mukherjee
Yao Wang
ArXivPDFHTML

Papers citing "Standard compliant video coding using low complexity, switchable neural wrappers"

6 / 6 papers shown
Title
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
Jiahao Li
Bin Li
Yan Lu
88
158
0
13 Jul 2022
Deep Contextual Video Compression
Deep Contextual Video Compression
Jiahao Li
Bin Li
Yan Lu
85
281
0
30 Sep 2021
MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering
Di Ma
Fan Zhang
David R. Bull
79
66
0
14 Jul 2020
Better Compression with Deep Pre-Editing
Better Compression with Deep Pre-Editing
Hossein Talebi
D. Kelly
Xiyang Luo
Ignacio Garcia Dorado
Feng Yang
P. Milanfar
Michael Elad
72
24
0
01 Feb 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.