◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Omachi

27 papers hereh-index 171.6k citations216 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author23

Across the 26 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • eess.IV6
  • cs.LG1
same name
  • S. Omachi — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedFidelity-Controllable Extreme Image Compression with Generative Adversarial Networks

45 citations · 164 across the 26 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.IV2023

Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu +3

Background and objective: High-resolution radiographic images play a pivotal role in the early diagnosis and treatment of skeletal muscle-related diseases. It is promising to enhan…

eess.IV2023

Infrared Image Super-Resolution via GAN

Yongsong Huang, Shinichiro Omachi

The ability of generative models to accurately fit data distributions has resulted in their widespread adoption and success in fields such as computer vision and natural language p…

eess.IV2023★ 2 cited

Texture and Noise Dual Adaptation for Infrared Image Super-Resolution

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu +2

Recent efforts have explored leveraging visible light images to enrich texture details in infrared (IR) super-resolution. However, this direct adaptation approach often becomes a d…

cs.CV2023★ 15 cited

Deep Image Compression Using Scene Text Quality Assessment

Shohei Uchigasaki, Tomo Miyazaki, Shinichiro Omachi

Image compression is a fundamental technology for Internet communication engineering. However, a high compression rate with general methods may degrade images, resulting in unreada…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.