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Seon Joo Kim

4 papers hereh-index 2107 citations7 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV4
same name
  • Seon Joo Kim — 25 papers, h 34
  • Seon Joo Kim — 15 papers, h 10
  • Seon Joo Kim — 9 papers, h 4
  • Seon Joo Kim — 9 papers, h 6
  • Seon Joo Kim — 5 papers, h 2
  • Seon Joo Kim — 2 papers, 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
20172026
most citedBuilding Emotional Machines: Recognizing Image Emotions through Deep Neural Networks

8 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Global Geometry Is Not Enough for Vision Representations

Jiwan Chung, Seon Joo Kim

A common assumption in representation learning is that globally well-distributed embeddings support robust and generalizable representations. This focus has shaped both training ob…

cs.CV2023★ 1 cited

VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement

Hanjung Kim, Jaehyun Kang, Miran Heo +3

In recent years, online Video Instance Segmentation (VIS) methods have shown remarkable advancement with their powerful query-based detectors. Utilizing the output queries of the d…

cs.CV2023

Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning

Jinwoo Kim, Janghyuk Choi, Jaehyun Kang +3

The binding problem in artificial neural networks is actively explored with the goal of achieving human-level recognition skills through the comprehension of the world in terms of…

cs.CV2017★ 8 cited

Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks

Hye-Rin Kim, Yeong-Seok Kim, Seon Joo Kim +1

An image is a very effective tool for conveying emotions. Many researchers have investigated in computing the image emotions by using various features extracted from images. In thi…

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