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Eunbyung Park

Sungkyunkwan University

18 papers hereh-index 192k citations34 works total

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

author position
  • first author4
  • middle author5
  • last author9

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG4
affiliations
  • Sungkyunkwan University
Homepage
same name
  • Eunbyung Park — 23 papers, h 13
  • Eunbyung Park — 11 papers, h 3
  • Eunbyung Park — 5 papers, h 4
  • Eunbyung Park — 1 paper, h 3
  • Eunbyung Park — 1 paper

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
20152023
most citedVisual Madlibs: Fill in the blank Image Generation and Question Answering

80 citations · 271 across the 17 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

4 papers · 2 filters

cs.CV2022★ 56 cited

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos

Joo Chan Lee, Daniel Rho, Jong Hwan Ko +1

Neural fields, also known as coordinate-based or implicit neural representations, have shown a remarkable capability of representing, generating, and manipulating various forms of…

cs.CV2022

Masked Wavelet Representation for Compact Neural Radiance Fields

Daniel Rho, Byeonghyeon Lee, Seungtae Nam +3

Neural radiance fields (NeRF) have demonstrated the potential of coordinate-based neural representation (neural fields or implicit neural representation) in neural rendering. Howev…

cs.CV2022

Streamable Neural Fields

Junwoo Cho, Seungtae Nam, Daniel Rho +2

Neural fields have emerged as a new data representation paradigm and have shown remarkable success in various signal representations. Since they preserve signals in their network p…

cs.CV2022★ 1 cited

Neural Residual Flow Fields for Efficient Video Representations

Daniel Rho, Junwoo Cho, Jong Hwan Ko +1

Neural fields have emerged as a powerful paradigm for representing various signals, including videos. However, research on improving the parameter efficiency of neural fields is st…

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