Deep Convolutional AutoEncoder-based Lossy Image Compression

Deep Convolutional AutoEncoder-based Lossy Image Compression

25 April 2018

Masaru Takeuchi

Papers citing "Deep Convolutional AutoEncoder-based Lossy Image Compression"

16 / 16 papers shown

Title
Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression Mohsen Jenadeleh Jon Sneyers Panqi Jia Shima Mohammadi Joao Ascenso Dietmar Saupe 31 0 0 07 Apr 2025
Detecting Near-Duplicate Face Images Sudipta Banerjee Arun Ross CVBM 39 0 0 14 Aug 2024
Region of Interest Loss for Anonymizing Learned Image Compression Christoph Liebender Ranulfo Bezerra K. Ohno Satoshi Tadokoro 3DH 39 0 0 09 Jun 2024
An autoencoder compression approach for accelerating large-scale inverse problems J. Wittmer Jacob Badger H. Sundar T. Bui-Thanh AI4CE 29 1 0 10 Apr 2023
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen Ekram Hossain Zhifeng Zhao Honggang Zhang 39 19 0 16 Dec 2022
Learning sparse auto-encoders for green AI image coding Cyprien Gille F. Guyard Marc Antonini Michel Barlaud 16 3 0 09 Sep 2022
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing Parual Datta Nilesh A. Ahuja V. Somayazulu Omesh Tickoo 19 13 0 24 Aug 2022
Streaming-capable High-performance Architecture of Learned Image Compression Codecs Fang-Ju Lin Heming Sun J. Katto 11 1 0 02 Aug 2022
ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding Dailan He Zi Yang Weikun Peng Rui Ma Hongwei Qin Yan Wang 36 318 0 21 Mar 2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 30 10 0 09 Feb 2022
Semantic-assisted image compression Qizheng Sun Caili Guo Yang Yang Jiujiu Chen Xijun Xue 19 4 0 29 Jan 2022
Learning-Driven Lossy Image Compression; A Comprehensive Survey Sonain Jamil Md. Jalil Piran Muhibur Rahman 29 36 0 23 Jan 2022
Semantic Communications: Principles and Challenges Zhijin Qin Xiaoming Tao Jianhua Lu Wen Tong Geoffrey Ye Li 31 338 0 30 Dec 2021
A New Image Codec Paradigm for Human and Machine Uses Sien Chen Jian Jin Lili Meng Weisi Lin Zhuo Chen Tsui-Shan Chang Zhen Li Huaxiang Zhang 33 6 0 19 Dec 2021
Exploring Autoencoder-based Error-bounded Compression for Scientific Data Jinyang Liu Sheng Di Kai Zhao Sian Jin Dingwen Tao Xin Liang Zizhong Chen Franck Cappello 6 49 0 25 May 2021
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 24 51 0 21 May 2020