ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.09226
  4. Cited By
End-to-End Learning for Video Frame Compression with Self-Attention

End-to-End Learning for Video Frame Compression with Self-Attention

20 April 2020
Nannan Zou
Honglei Zhang
Francesco Cricri
Hamed R. Tavakoli
J. Lainema
Emre B. Aksu
M. Hannuksela
Esa Rahtu
ArXivPDFHTML

Papers citing "End-to-End Learning for Video Frame Compression with Self-Attention"

9 / 9 papers shown
Title
Deep Frame Prediction for Video Coding
Deep Frame Prediction for Video Coding
Hyomin Choi
Ivan V. Bajić
21
58
0
31 Dec 2018
Practical Full Resolution Learned Lossless Image Compression
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
46
196
0
30 Nov 2018
Conditional Probability Models for Deep Image Compression
Conditional Probability Models for Deep Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
46
487
0
12 Jan 2018
Learning Convolutional Networks for Content-weighted Image Compression
Learning Convolutional Networks for Content-weighted Image Compression
Mu Li
W. Zuo
Shuhang Gu
Debin Zhao
David C. Zhang
61
399
0
30 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
57
1,050
0
01 Mar 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
56
933
0
19 Jan 2017
Video Ladder Networks
Video Ladder Networks
Francesco Cricri
Xingyang Ni
Mikko Honkala
Emre B. Aksu
Moncef Gabbouj
44
27
0
06 Dec 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
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
311
5,205
0
16 Sep 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
397
2,563
0
25 Jan 2016
1