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Yonghyun Kim

4 papers hereh-index 348 citations5 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV3
  • cs.AI1
same name
  • Yonghyun Kim — 6 papers, h 2
  • Yonghyun Kim — 5 papers, h 1
  • Yonghyun Kim — 1 paper, h 2

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
20182026
most citedPairwise Relational Networks using Local Appearance Features for Face Recognition

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

AI Engram: In Search of Memory Traces in Artificial Intelligence

Jea Kwon, Dong-Kyum Kim, Jiwon Kim +3

Memory formation is fundamental to intelligence, yet whether deep neural networks preserve identifiable memory traces analogous to biological memory units remains an open question.…

cs.CV2019

Attentional Feature-Pair Relation Networks for Accurate Face Recognition

Bong-Nam Kang, Yonghyun Kim, Bongjin Jun +1

Human face recognition is one of the most important research areas in biometrics. However, the robust face recognition under a drastic change of the facial pose, expression, and il…

cs.CV2018★ 2 cited

Pairwise Relational Networks using Local Appearance Features for Face Recognition

Bong-Nam Kang, Yonghyun Kim, Daijin Kim

We propose a new face recognition method, called a pairwise relational network (PRN), which takes local appearance features around landmark points on the feature map, and captures…

cs.CV2018

BAN: Focusing on Boundary Context for Object Detection

Yonghyun Kim, Taewook Kim, Bong-Nam Kang +2

Visual context is one of the important clue for object detection and the context information for boundaries of an object is especially valuable. We propose a boundary aware network…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.