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researcher

Chul Lee

3 papers here

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

author position
  • middle author3

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

fields
  • cs.CV2
  • quant-ph1
ORCID 0000-0001-9329-7365
same name
  • Chul Lee — 2 papers, h 3
  • Chul Lee — 1 paper
  • Chul Lee — 1 paper
  • Chul Lee — 1 paper, h 2

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 citedVirtual Screening of Chemical Space based on Quantum Annealing

15 citations · 16 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 1 cited

H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields

Minyoung Park, Mirae Do, YeonJae Shin +4

Advanced techniques using Neural Radiance Fields (NeRF), Signed Distance Fields (SDF), and Occupancy Fields have recently emerged as solutions for 3D indoor scene reconstruction. W…

cs.CV2023

Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields

Hyeonseop Song, Seokhun Choi, Hoseok Do +2

Text-driven localized editing of 3D objects is particularly difficult as locally mixing the original 3D object with the intended new object and style effects without distorting the…

quant-ph2023★ 15 cited

Virtual Screening of Chemical Space based on Quantum Annealing

Takuro Tanaka, Masami Sako, Mahito Chiba +3

For searching a new chemical material which satisfies the target characteristic value, for example emission wavelength, many cut and trial of experiments/calculations are required…

cs.CV2022★ 1 cited

Depth Map Decomposition for Monocular Depth Estimation

Jinyoung Jun, Jae-Han Lee, Chul Lee +1

We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features. The proposed network is composed of a…

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