3 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 1 cited
Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
Deep image compression performs better than conventional codecs, such as JPEG, on natural images. However, deep image compression is learning-based and encounters a problem: the co…
eess.IV2021
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…
eess.IV2020★ 3 cited
Channel-Level Variable Quantization Network for Deep Image Compression
Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa
Deep image compression systems mainly contain four components: encoder, quantizer, entropy model, and decoder. To optimize these four components, a joint rate-distortion framework…