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Jun Xu

4 papers hereh-index 4166 citations6 works total

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

author position
  • middle author3

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Jun Xu — 67 papers, h 27
  • Jun Xu — 21 papers, h 16
  • Jun Xu — 18 papers, h 26
  • Jun Xu — 16 papers, h 9
  • Jun Xu — 16 papers, h 7
  • Jun Xu — 14 papers, h 2

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 citedSemi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution

54 citations · 60 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 6 cited

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Xiaotao Hu, Zhewei Huang, Ailin Huang +2

The performance of video prediction has been greatly boosted by advanced deep neural networks. However, most of the current methods suffer from large model sizes and require extra…

cs.CV2022

Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark

Gang Xu, Yu-chen Yang, Liang Wang +2

Joint Super-Resolution and Inverse Tone-Mapping (joint SR-ITM) aims to increase the resolution and dynamic range of low-resolution and standard dynamic range images. Recent network…

cs.CV2022★ 54 cited

Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution

Hao Hou, Jun Xu, Yingkun Hou +3

Real-world face super-resolution (SR) is a highly ill-posed image restoration task. The fully-cycled Cycle-GAN architecture is widely employed to achieve promising performance on f…

eess.IV2022

FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation

Jin Liang, Yuchen Yang, Anran Zhang +3

The photographs captured by digital cameras usually suffer from over or under exposure problems. For image exposure enhancement, the tasks of Single-Exposure Correction (SEC) and M…

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