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Ho‐Young Jung

3 papers here

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

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • cs.CV1
ORCID 0000-0003-0398-831X

identity via Semantic Scholar / OpenAlex

most citedAdversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

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

collaborators

3 papers

cs.CV2024

Actions and Objects Pathways for Domain Adaptation in Video Question Answering

Safaa Abdullahi Moallim Mohamud, Ho-Young Jung

In this paper, we introduce the Actions and Objects Pathways (AOPath) for out-of-domain generalization in video question answering tasks. AOPath leverages features from a large pre…

cs.SD2024

BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification

June-Woo Kim, Miika Toikkanen, Yera Choi +2

Respiratory sound classification (RSC) is challenging due to varied acoustic signatures, primarily influenced by patient demographics and recording environments. To address this is…

cs.SD2023★ 2 cited

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance

June-Woo Kim, Chihyeon Yoon, Miika Toikkanen +2

Deep generative models have emerged as a promising approach in the medical image domain to address data scarcity. However, their use for sequential data like respiratory sounds is…

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