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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 2018Show all

4 papers · 1 filter

cs.CV2018★ 8 cited

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

Yuchao Li, Shaohui Lin, Baochang Zhang +5

Compressing convolutional neural networks (CNNs) has received ever-increasing research focus. However, most existing CNN compression methods do not interpret their inherent structu…

cs.CV2018★ 3 cited

Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos

Ying Tai, Yicong Liang, Xiaoming Liu +5

In recent years, heatmap regression based models have shown their effectiveness in face alignment and pose estimation. However, Conventional Heatmap Regression (CHR) is not accurat…

cs.CV2018★ 32 cited

Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training

Feng Zheng, Cheng Deng, Xing Sun +5

Most existing Re-IDentification (Re-ID) methods are highly dependent on precise bounding boxes that enable images to be aligned with each other. However, due to the challenging pra…

cs.CV2018★ 8 cited

DSFD: Dual Shot Face Detector

Jian Li, Yabiao Wang, Changan Wang +6

In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progres…

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