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N. Matsuda

11 papers hereh-index 13696 citations37 works total

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

author position
  • middle author9
  • last author2

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.GR4
  • physics.optics2
  • eess.IV1
same name
  • N. Matsuda — 18 papers, h 19
  • N. Matsuda — 8 papers, h 23
  • N. Matsuda — 1 paper, h 8
  • N. Matsuda — 1 paper, h 8

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
20152026
most citedNeural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display

52 citations · 59 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Lens Flare Removal and Reconstruction

Tarun Yenamandra, Jonathon Luiten, Daniel Cremers +1

The presence of lens flares in images can significantly reduce the quality of downstream application results for tasks such as 3D scene reconstruction. This is because lens flares…

cs.CV2023

Stochastic Light Field Holography

Florian Schiffers, Praneeth Chakravarthula, Nathan Matsuda +5

The Visual Turing Test is the ultimate goal to evaluate the realism of holographic displays. Previous studies have focused on addressing challenges such as limited étendue and imag…

cs.CV2021★ 2 cited

LiveView: Dynamic Target-Centered MPI for View Synthesis

Sushobhan Ghosh, Zhaoyang Lv, Nathan Matsuda +3

Existing Multi-Plane Image (MPI) based view-synthesis methods generate an MPI aligned with the input view using a fixed number of planes in one forward pass. These methods produce…

cs.CV2015

Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera Arrays

Jason Holloway, M. Salman Asif, Manoj Kumar Sharma +4

In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in long distance images by a factor of ten an…

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