Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding

up
0 users have voted:

Paper Details

Authors:
Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong
Submitted On:
31 March 2020 - 5:27am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Jixiang Luo
Paper Code:
201
Session:
Session 1
Document Year:
2020
Cite

Document Files

DCC_201_camera_ready.pdf

(62)

Subscribe

[1] Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong, "Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5078. Accessed: Aug. 13, 2020.
@article{5078-20,
url = {http://sigport.org/5078},
author = {Shaohui Li; Wenrui Dai; Yuhui Xu; De Cheng; Gang Li; Hongkai Xiong },
publisher = {IEEE SigPort},
title = {Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding},
year = {2020} }
TY - EJOUR
T1 - Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding
AU - Shaohui Li; Wenrui Dai; Yuhui Xu; De Cheng; Gang Li; Hongkai Xiong
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5078
ER -
Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong. (2020). Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding. IEEE SigPort. http://sigport.org/5078
Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong, 2020. Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding. Available at: http://sigport.org/5078.
Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong. (2020). "Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding." Web.
1. Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong. Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5078