Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding

19 October 2019

Papers citing "Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding"

6 / 6 papers shown

Title
Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression M. Balcilar B. Damodaran Pierre Hellier 21 8 0 02 Sep 2022
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set T. V. Rozendaal Johann Brehmer Yunfan Zhang Reza Pourreza Auke Wiggers Taco S. Cohen 39 24 0 19 Nov 2021
FVC: A New Framework towards Deep Video Compression in Feature Space Zhihao Hu Guo Lu Dong Xu 28 246 0 20 May 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression T. V. Rozendaal Iris A. M. Huijben Taco S. Cohen 25 47 0 21 Jan 2021
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs Jan P. Klopp Keng-Chi Liu Liang-Gee Chen Shao-Yi Chien 16 15 0 03 Dec 2020
A QP-adaptive Mechanism for CNN-based Filter in Video Coding Chao Liu Heming Sun J. Katto Xiaoyang Zeng Yibo Fan MQ 22 5 0 25 Oct 2020