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Junlin Li

9 papers hereh-index 10340 citations23 works total

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

author position
  • middle author7

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • eess.IV3
  • cs.MM1
same name
  • Junlin Li — 4 papers, h 4
  • Junlin Li — 3 papers, h 10
  • Junlin Li — 3 papers, h 3
  • Junlin Li — 3 papers, h 3
  • Junlin Li — 2 papers, h 2
  • Junlin Li — 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
20212025
most citedNTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

11 citations · 14 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.MM2023

Video Compression with Arbitrary Rescaling Network

Mengxi Guo, Shijie Zhao, Hao Jiang +2

Most video platforms provide video streaming services with different qualities, and the quality of the services is usually adjusted by the resolution of the videos. So high-resolut…

cs.CV2023★ 2 cited

Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution

Ming Cheng, Haoyu Ma, Qiufang Ma +7

Multi-stage strategies are frequently employed in image restoration tasks. While transformer-based methods have exhibited high efficiency in single-image super-resolution tasks, th…

eess.IV2023★ 1 cited

OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution

Xiaopeng Sun, Weiqi Li, Zhenyu Zhang +8

360° omnidirectional images have gained research attention due to their immersive and interactive experience, particularly in AR/VR applications. However, they suffer from lower an…

cs.CV2023

Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling

Jinhai Yang, Mengxi Guo, Shijie Zhao +2

High-resolution (HR) images are usually downscaled to low-resolution (LR) ones for better display and afterward upscaled back to the original size to recover details. Recent work i…

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