99 citations · 102 across the 6 of their papers we have counts for
6 papers
Comprehensive Comparisons of Uniform Quantization in Deep Image Compression
Koki Tsubota, Kiyoharu Aizawa
In deep image compression, uniform quantization is applied to latent representations obtained by using an auto-encoder architecture for reducing bits and entropy coding. Quantizati…
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…
Evaluating the Stability of Deep Image Quality Assessment With Respect to Image Scaling
Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
Image quality assessment (IQA) is a fundamental metric for image processing tasks (e.g., compression). With full-reference IQAs, traditional IQAs, such as PSNR and SSIM, have been…
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 (…
Few-Shot Font Generation with Deep Metric Learning
Haruka Aoki, Koki Tsubota, Hikaru Ikuta +1
Designing fonts for languages with a large number of characters, such as Japanese and Chinese, is an extremely labor-intensive and time-consuming task. In this study, we addressed…
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
Kiyoharu Aizawa, Azuma Fujimoto, Atsushi Otsubo +4
Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset. Hence, we…