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Ying Huang

9 papers hereh-index 8276 citations11 works total

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

author position
  • first author5
  • middle author4

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

fields
  • cs.CV8
  • cs.MM1
same name
  • Ying Huang — 9 papers, h 1
  • Ying Huang — 6 papers, h 3
  • Ying Huang — 6 papers, h 3
  • Ying Huang — 4 papers, h 29
  • Ying Huang — 4 papers, h 4
  • Ying Huang — 3 papers, h 4

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
20172026
most citedDeep Frequent Spatial Temporal Learning for Face Anti-Spoofing

11 citations · 17 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 4 cited

Online Knowledge Distillation via Multi-branch Diversity Enhancement

Zheng Li, Ying Huang, Defang Chen +3

Knowledge distillation is an effective method to transfer the knowledge from the cumbersome teacher model to the lightweight student model. Online knowledge distillation uses the e…

cs.CV2020★ 2 cited

More Information Supervised Probabilistic Deep Face Embedding Learning

Ying Huang, Shangfeng Qiu, Wenwei Zhang +2

Researches using margin based comparison loss demonstrate the effectiveness of penalizing the distance between face feature and their corresponding class centers. Despite their pop…

cs.CV2020

Joint Deep Learning of Facial Expression Synthesis and Recognition

Yan Yan, Ying Huang, Si Chen +2

Recently, deep learning based facial expression recognition (FER) methods have attracted considerable attention and they usually require large-scale labelled training data. Nonethe…

cs.CV2020★ 11 cited

Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing

Ying Huang, Wenwei Zhang, Jinzhuo Wang

Face anti-spoofing is crucial for the security of face recognition system, by avoiding invaded with presentation attack. Previous works have shown the effectiveness of using depth…

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