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Donghyun Kim

26 papers here

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

author position
  • first author8
  • middle author17

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • cs.LG3
  • cs.CL2
  • cs.RO1
  • cs.SD1
ORCID 0000-0002-7132-4454
same name
  • Donghyun Kim — 16 papers, h 5
  • Donghyun Kim — 16 papers, h 9
  • Donghyun Kim — 14 papers, h 15
  • Donghyun Kim — 13 papers, h 13
  • Donghyun Kim — 9 papers
  • Donghyun Kim — 9 papers, h 3

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
20182025
most citedUniversal Domain Adaptation through Self Supervision

162 citations · 364 across the 26 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 2 cited

MULE: Multimodal Universal Language Embedding

Donghyun Kim, Kuniaki Saito, Kate Saenko +2

Existing vision-language methods typically support two languages at a time at most. In this paper, we present a modular approach which can easily be incorporated into existing visi…

cs.CV2019

Multi-way Encoding for Robustness

Donghyun Kim, Sarah Adel Bargal, Jianming Zhang +1

Deep models are state-of-the-art for many computer vision tasks including image classification and object detection. However, it has been shown that deep models are vulnerable to a…

cs.CV2019★ 75 cited

Semi-supervised Domain Adaptation via Minimax Entropy

Kuniaki Saito, Donghyun Kim, Stan Sclaroff +2

Contemporary domain adaptation methods are very effective at aligning feature distributions of source and target domains without any target supervision. However, we show that these…

cs.CL2019

Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues

Sungjoon Park, Donghyun Kim, Alice Oh

The recent surge of text-based online counseling applications enables us to collect and analyze interactions between counselors and clients. A dataset of those interactions can be…

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