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Seung-Hwan Baek

4 papers hereh-index 201.8k citations53 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
  • cs.CV3
  • eess.IV1
same name
  • Seung-Hwan Baek — 6 papers, h 8
  • Seung-Hwan Baek — 5 papers, h 3
  • Seung-Hwan Baek — 3 papers, h 6
  • Seung-Hwan Baek — 2 papers, 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 citedMask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

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

collaborators

4 papers

cs.CV2021

Centimeter-Wave Free-Space Time-of-Flight Imaging

Seung-Hwan Baek, Noah Walsh, Ilya Chugunov +2

Depth cameras are emerging as a cornerstone modality with diverse applications that directly or indirectly rely on measured depth, including personal devices, robotics, and self-dr…

cs.CV2021

Polarimetric Spatio-Temporal Light Transport Probing

Seung-Hwan Baek, Felix Heide

Light emitted from a source into a scene can undergo complex interactions with scene surfaces of different material types before being reflected. During this transport, every surfa…

eess.IV2021★ 2 cited

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

Ilya Chugunov, Seung-Hwan Baek, Qiang Fu +2

We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures. FPs are pervasive artifacts which occur around depth edges, where light paths f…

cs.CV2020

Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo

Seung-Hwan Baek, Felix Heide

Active stereo cameras that recover depth from structured light captures have become a cornerstone sensor modality for 3D scene reconstruction and understanding tasks across applica…

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