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researcher

Yichen Wu

15 papers hereh-index 253.3k citations78 works total

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

author position
  • first author6
  • middle author8

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • eess.IV4
  • physics.ins-det2
  • cs.LG1
  • physics.med-ph1
  • physics.optics1
same name
  • Yichen Wu — 1 paper
  • Yichen Wu — 1 paper, h 2
  • Yichen Wu — 1 paper
  • Yichen Wu — 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
20172021
most citedDeep learning-based color holographic microscopy

54 citations · 70 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2020

Deep learning-based virtual refocusing of images using an engineered point-spread function

Xilin Yang, Luzhe Huang, Yilin Luo +4

We present a virtual image refocusing method over an extended depth of field (DOF) enabled by cascaded neural networks and a double-helix point-spread function (DH-PSF). This netwo…

eess.IV2020

How to Train Neural Networks for Flare Removal

Yicheng Wu, Qiurui He, Tianfan Xue +4

When a camera is pointed at a strong light source, the resulting photograph may contain lens flare artifacts. Flares appear in a wide variety of patterns (halos, streaks, color ble…

eess.IV2020★ 4 cited

Structural Residual Learning for Single Image Rain Removal

Hong Wang, Yichen Wu, Qi Xie +3

To alleviate the adverse effect of rain streaks in image processing tasks, CNN-based single image rain removal methods have been recently proposed. However, the performance of thes…

eess.IV2019★ 54 cited

Deep learning-based color holographic microscopy

Tairan Liu, Zhensong Wei, Yair Rivenson +4

We report a framework based on a generative adversarial network (GAN) that performs high-fidelity color image reconstruction using a single hologram of a sample that is illuminated…

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