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Dokyeong Kwon

2 papers here

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

author position
  • first author1
  • middle author1

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

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedDALE : Dark Region-Aware Low-light Image Enhancement

10 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2020★ 10 cited

DALE : Dark Region-Aware Low-light Image Enhancement

Dokyeong Kwon, Guisik Kim, Junseok Kwon

In this paper, we present a novel low-light image enhancement method called dark region-aware low-light image enhancement (DALE), where dark regions are accurately recognized by th…

cs.CV2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

Andreas Lugmayr, Martin Danelljan, Radu Timofte +18

This paper reviews the AIM 2019 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting,…

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