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Kun Yuan

4 papers hereh-index 4220 citations4 works total

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

author position
  • middle author4

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

fields
  • cs.CV3
  • cs.LG1
same name
  • Kun Yuan — 22 papers, h 9
  • Kun Yuan — 17 papers, h 8
  • Kun Yuan — 14 papers, h 13
  • Kun Yuan — 9 papers, h 3
  • Kun Yuan — 9 papers, h 4
  • Kun Yuan — 8 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 citedAdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation

14 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment

Hongbo Liu, Mingda Wu, Kun Yuan +5

Video quality assessment (VQA) has attracted growing attention in recent years. While the great expense of annotating large-scale VQA datasets has become the main obstacle for curr…

cs.CV2023★ 2 cited

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

Xiaohong Liu, Xiongkuo Min, Wei Sun +69

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…

cs.LG2023★ 14 cited

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation

Yi-Fan Zhang, Xue Wang, Kexin Jin +5

Many recent machine learning tasks focus to develop models that can generalize to unseen distributions. Domain generalization (DG) has become one of the key topics in various field…

cs.CV2022★ 2 cited

CHEX: CHannel EXploration for CNN Model Compression

Zejiang Hou, Minghai Qin, Fei Sun +7

Channel pruning has been broadly recognized as an effective technique to reduce the computation and memory cost of deep convolutional neural networks. However, conventional pruning…

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