◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

T. Akashi

4 papers hereh-index 10500 citations121 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • T. Akashi — 2 papers, h 21
  • T. Akashi — 1 paper, h 6
  • T. Akashi — 1 paper, h 18

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

most citedMulti-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2019★ 1 cited

Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment

Yi Zhang, Chao Zhang, Takuya Akashi

We propose a novel multi-scale template matching method which is robust against both scaling and rotation in unconstrained environments. The key component behind is a similarity me…

cs.CV2019

A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation

Takumi Nakane, Takuya Akashi, Xuequan Lu +1

We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity. As a classical problem, there is always a trade-off betw…

cs.CV2018

Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data

Bold Naranchimeg, Chao Zhang, Takuya Akashi

In recent decade, many state-of-the-art algorithms on image classification as well as audio classification have achieved noticeable successes with the development of deep convoluti…

cs.CV2018

Blur-Countering Keypoint Detection via Eigenvalue Asymmetry

Chao Zhang, Xuequan Lu, Takuya Akashi

Well-known corner or local extrema feature based detectors such as FAST and DoG have achieved noticeable successes. However, detecting keypoints in the presence of blur has remaine…

◍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.