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D. Lee

4 papers hereh-index 6135 citations15 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV4
same name
  • D. Lee — 79 papers, h 56
  • D. Lee — 28 papers
  • D. Lee — 20 papers, h 25
  • D. Lee — 19 papers, h 23
  • D. Lee — 15 papers, h 10
  • D. Lee — 8 papers, h 12

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

most citedA Subjective and Objective Study of Space-Time Subsampled Video Quality

44 citations · 86 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2021★ 4 cited

Space-Time Video Regularity and Visual Fidelity: Compression, Resolution and Frame Rate Adaptation

Dae Yeol Lee, Hyunsuk Ko, Jongho Kim +1

In order to be able to deliver today's voluminous amount of video contents through limited bandwidth channels in a perceptually optimal way, it is important to consider perceptual…

eess.IV2021★ 44 cited

A Subjective and Objective Study of Space-Time Subsampled Video Quality

Dae Yeol Lee, Somdyuti Paul, Christos G. Bampis +5

Video dimensions are continuously increasing to provide more realistic and immersive experiences to global streaming and social media viewers. However, increments in video paramete…

eess.IV2021★ 9 cited

On the Space-Time Statistics of Motion Pictures

Dae Yeol Lee, Hyunsuk Ko, Jongho Kim +1

It is well-known that natural images possess statistical regularities that can be captured by bandpass decomposition and divisive normalization processes that approximate early neu…

eess.IV2020★ 29 cited

Quality Prediction on Deep Generative Images

Hyunsuk Ko, Dae Yeol Lee, Seunghyun Cho +1

In recent years, deep neural networks have been utilized in a wide variety of applications including image generation. In particular, generative adversarial networks (GANs) are abl…

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