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Feiyue Huang

83 papers hereh-index 5511.8k citations166 works total

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

author position
  • middle author58
  • last author16

Across the 74 of 83 papers where every author was matched, so the position is known.

fields
  • cs.CV79
  • cs.LG2
  • cs.CL1
  • eess.IV1
same name
  • Feiyue Huang — 2 papers
  • Feiyue Huang — 1 paper, h 1
  • Feiyue Huang — 1 paper, 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

activity
20152022
most citedCollaborative Learning for Faster StyleGAN Embedding

67 citations · 969 across the 81 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

eess.IV2022★ 16 cited

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

Ren Yang, Radu Timofte, Xin Li +49

This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compress…

cs.CV2022★ 66 cited

Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

Gen Luo, Yiyi Zhou, Xiaoshuai Sun +5

Despite the exciting performance, Transformer is criticized for its excessive parameters and computation cost. However, compressing Transformer remains as an open problem due to it…

cs.CV2022

Differentiated Relevances Embedding for Group-based Referring Expression Comprehension

Fuhai Chen, Xuri Ge, Xiaoshuai Sun +4

The key of referring expression comprehension lies in capturing the cross-modal visual-linguistic relevance. Existing works typically model the cross-modal relevance in each image,…

cs.CV2022★ 14 cited

ASFD: Automatic and Scalable Face Detector

Jian Li, Bin Zhang, Yabiao Wang +6

Along with current multi-scale based detectors, Feature Aggregation and Enhancement (FAE) modules have shown superior performance gains for cutting-edge object detection. However,…

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