Yong In University

output

20202026

most citedRelational Deep Feature Learning for Heterogeneous Face Recognition

49 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

C. Kwon1 · h 15
Govind Paneru1 · h 12
Ho-Jin Lee1 · h 0
H. Pak1 · h 19
Hyeongwoo Kong1 · h 2
Ig-Jae Kim1 · h 20
Jin Tae Park1 · h 3
Kangmin Kim1 · h 0
Kiwan Kwon1 · h 1
Kyungjae Lee1 · h 19
Myeongah Cho1 · h 9
Saerom Park1 · h 2

collaborating institutions

Ulsan National Institute of Science and TechnologyKR2 papers
Arthur Ashe Learning CenterUS1 paper
Chuo UniversityJP1 paper
Hyejeon CollegeKR1 paper
Institute for Basic ScienceKR1 paper
Joyce FoundationUS1 paper
JPMorgan Chase & Co (United States)US1 paper
Korea Institute of Science and TechnologyKR1 paper
Lucas ResearchUS1 paper
Morgan Stanley (United States)US1 paper
Myongji UniversityKR1 paper
Nuance Communications (Austria)AT1 paper

Showing cs.CVShow all

1 paper · 1 filter

cs.CV2020★ 49 cited

Relational Deep Feature Learning for Heterogeneous Face Recognition

MyeongAh Cho, Taeoh Kim, Ig-Jae Kim +2

Heterogeneous Face Recognition (HFR) is a task that matches faces across two different domains such as visible light (VIS), near-infrared (NIR), or the sketch domain. Due to the la…