◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Takeharu Eda

7 papers hereh-index 7148 citations28 works total

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

author position
  • last author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG1
  • stat.ML1
same name
  • Takeharu Eda — 2 papers, 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
20192024
most citedEffective Data Augmentation with Multi-Domain Learning GANs

4 citations · 8 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CV2024★ 1 cited

Inter-Feature-Map Differential Coding of Surveillance Video

Kei Iino, Miho Takahashi, Hiroshi Watanabe +5

In Collaborative Intelligence, a deep neural network (DNN) is partitioned and deployed at the edge and the cloud for bandwidth saving and system optimization. When a model input is…

cs.CV2024★ 1 cited

Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching

Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi +4

Deep neural networks have achieved remarkable success in a variety of computer vision applications. However, there is a problem of degrading accuracy when the data distribution shi…

cs.CV2024

Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss

Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe +3

Image coding for machines (ICM) aims to compress images for machine analysis using recognition models rather than human vision. Hence, in ICM, it is important for the encoder to re…

◍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.