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Gang He

4 papers hereh-index 12463 citations36 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV2
same name
  • Gang He — 4 papers
  • Gang He — 2 papers
  • Gang He — 1 paper, h 6
  • Gang He — 1 paper
  • Gang He — 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

most citedNTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

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

collaborators

4 papers

eess.IV2022★ 1 cited

SDRTV-to-HDRTV Conversion via Spatial-Temporal Feature Fusion

Kepeng Xu, Li Xu, Gang He +4

HDR(High Dynamic Range) video can reproduce realistic scenes more realistically, with a wider gamut and broader brightness range. HDR video resources are still scarce, and most vid…

cs.CV2022★ 3 cited

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results

Furkan Kınlı, Sami Menteş, Barış Özcan +30

This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations,…

cs.CV2022★ 11 cited

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85

This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…

eess.IV2020

RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding

Man M. Ho, Jinjia Zhou, Gang He

Integrating deep learning techniques into the video coding framework gains significant improvement compared to the standard compression techniques, especially applying super-resolu…

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