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Jiwon Kim

16 papers hereh-index 4719.8k citations322 works total

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

author position
  • first author7
  • middle author4
  • last author5

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG7
  • cs.AI1
  • q-fin.CP1
same name
  • Jiwon Kim — 16 papers, h 10
  • Jiwon Kim — 13 papers, h 34
  • Jiwon Kim — 3 papers, h 7
  • Jiwon Kim — 3 papers, h 4
  • Jiwon Kim — 2 papers, h 3
  • Jiwon Kim — 2 papers, h 8

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
20152023
most citedLearning to Discover Cross-Domain Relations with Generative Adversarial Networks

726 citations · 1.1k across the 16 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 30 cited

Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks

Taeksoo Kim, Byoungjip Kim, Moonsu Cha +1

Learning to transfer visual attributes requires supervision dataset. Corresponding images with varying attribute values with the same identity are required for learning the transfe…

cs.CV2017

End-to-end Learning of Image based Lane-Change Decision

Seong-Gyun Jeong, Jiwon Kim, Sujung Kim +1

We propose an image based end-to-end learning framework that helps lane-change decisions for human drivers and autonomous vehicles. The proposed system, Safe Lane-Change Aid Networ…

cs.AI2017★ 199 cited

Continual Learning with Deep Generative Replay

Hanul Shin, Jung Kwon Lee, Jaehong Kim +1

Attempts to train a comprehensive artificial intelligence capable of solving multiple tasks have been impeded by a chronic problem called catastrophic forgetting. Although simply r…

cs.CV2017★ 726 cited

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Taeksoo Kim, Moonsu Cha, Hyunsoo Kim +2

While humans easily recognize relations between data from different domains without any supervision, learning to automatically discover them is in general very challenging and need…

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