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Yeong-Joon Ju

2 papers here

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author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2
ORCID 0009-0009-5552-2520

identity via Semantic Scholar / OpenAlex

most citedExplaining generative diffusion models via visual analysis for interpretable decision-making process

22 citations · 22 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 22 cited

Explaining generative diffusion models via visual analysis for interpretable decision-making process

Ji-Hoon Park, Yeong-Joon Ju, Seong-Whan Lee

Diffusion models have demonstrated remarkable performance in generation tasks. Nevertheless, explaining the diffusion process remains challenging due to it being a sequence of deno…

cs.CV2023

NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations

Yeong-Joon Ju, Ji-Hoon Park, Seong-Whan Lee

Despite deep learning (DL) has achieved remarkable progress in various domains, the DL models are still prone to making mistakes. This issue necessitates effective debugging tools…

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