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Kyung-Min Kim

4 papers hereh-index 00 citations0 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV3
  • cs.LG1
same name
  • Kyung-Min Kim — 12 papers
  • Kyung-Min Kim — 2 papers
  • Kyung-Min Kim — 1 paper
  • Kyung-Min Kim — 1 paper
  • Kyung-Min Kim — 1 paper

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
20172021
most citedDeepStory: Video Story QA by Deep Embedded Memory Networks

34 citations · 38 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 2 cited

M2FN: Multi-step Modality Fusion for Advertisement Image Assessment

Kyung-Wha Park, Jung-Woo Ha, JungHoon Lee +3

Assessing advertisements, specifically on the basis of user preferences and ad quality, is crucial to the marketing industry. Although recent studies have attempted to use deep neu…

cs.LG2019★ 2 cited

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion

Kyung-Wha Park, JungHoon Lee, Sunyoung Kwon +3

Assessing aesthetic preference is a fundamental task related to human cognition. It can also contribute to various practical applications such as image creation for online advertis…

cs.CV2018

Multimodal Dual Attention Memory for Video Story Question Answering

Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim +1

We propose a video story question-answering (QA) architecture, Multimodal Dual Attention Memory (MDAM). The key idea is to use a dual attention mechanism with late fusion. MDAM use…

cs.CV2017★ 34 cited

DeepStory: Video Story QA by Deep Embedded Memory Networks

Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi +1

Question-answering (QA) on video contents is a significant challenge for achieving human-level intelligence as it involves both vision and language in real-world settings. Here we…

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