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researcher

Qi Li

11 papers hereh-index 223.2k citations242 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.CV7
  • eess.IV3
  • physics.optics1
same name
  • Qi Li — 24 papers, h 41
  • Qi Li — 21 papers, h 15
  • Qi Li — 18 papers, h 4
  • Qi Li — 15 papers, h 11
  • Qi Li — 15 papers, h 9
  • Qi Li — 14 papers, h 3

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
20202024
most citedOptical Aberration Correction in Postprocessing using Imaging Simulation

60 citations · 172 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

physics.optics2023★ 2 cited

Revealing the preference for correcting separated aberrations in joint optic-image design

Jingwen Zhou, Shiqi Chen, Zheng Ren +5

The joint design of the optical system and the downstream algorithm is a challenging and promising task. Due to the demand for balancing the global optimal of imaging systems and t…

cs.CV2023★ 47 cited

Computational Optics for Mobile Terminals in Mass Production

Shiqi Chen, Ting Lin, Huajun Feng +3

Correcting the optical aberrations and the manufacturing deviations of cameras is a challenging task. Due to the limitation on volume and the demand for mass production, existing m…

cs.CV2023★ 60 cited

Optical Aberration Correction in Postprocessing using Imaging Simulation

Shiqi Chen, Huajun Feng, Dexin Pan +3

As the popularity of mobile photography continues to grow, considerable effort is being invested in the reconstruction of degraded images. Due to the spatial variation in optical a…

cs.CV2023

Reliable Image Dehazing by NeRF

Zheyan Jin, Shiqi Chen, Huajun Feng +3

We present an image dehazing algorithm with high quality, wide application, and no data training or prior needed. We analyze the defects of the original dehazing model, and propose…

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