VIPLFaceNet: an open source deep face recognition SDK

Article Properties
Cite
Liu, Xin, et al. “VIPLFaceNet: An Open Source Deep Face Recognition SDK”. Frontiers of Computer Science, vol. 11, no. 2, 2017, pp. 208-1, https://doi.org/10.1007/s11704-016-6076-3.
Liu, X., Kan, M., Wu, W., Shan, S., & Chen, X. (2017). VIPLFaceNet: an open source deep face recognition SDK. Frontiers of Computer Science, 11(2), 208-218. https://doi.org/10.1007/s11704-016-6076-3
Liu, Xin, Meina Kan, Wanglong Wu, Shiguang Shan, and Xilin Chen. “VIPLFaceNet: An Open Source Deep Face Recognition SDK”. Frontiers of Computer Science 11, no. 2 (2017): 208-18. https://doi.org/10.1007/s11704-016-6076-3.
Liu X, Kan M, Wu W, Shan S, Chen X. VIPLFaceNet: an open source deep face recognition SDK. Frontiers of Computer Science. 2017;11(2):208-1.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
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Electronics
Computer engineering
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Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TIFS.2014.2359577 2014
10.1109/TPAMI.2011.225 2012
10.1109/TIP.2011.2166974 2012
10.1109/TMM.2012.2186121 2012
Multi-PIE Image and Vision Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Physics: Optics. Light
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 667 2010
Citations
Title Journal Journal Categories Citations Publication Date
Universal Heterogeneous Face Analysis via Multi-Domain Feature Disentanglement IEEE Transactions on Information Forensics and Security
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Efficient human face recognition in real-life applications using the discrete wavelet transformation (HFRDWT) Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2023
Deep learning features in facial identification and the likelihood ratio bound Forensic Science International
  • Medicine: Medicine (General): Medical technology
  • Law: Law in general. Comparative and uniform law. Jurisprudence: Comparative law. International uniform law: Medical legislation
  • Medicine: Medicine (General)
 3 2023
Two heads are better than one: Dual systems obtain better performance in facial comparison Forensic Science International
  • Medicine: Medicine (General): Medical technology
  • Law: Law in general. Comparative and uniform law. Jurisprudence: Comparative law. International uniform law: Medical legislation
  • Medicine: Medicine (General)
 2023
Convolutional Neural Networks Combined with Machine Vision for Mechanical Compressor Defect Detection

 Journal of Physics: Conference Series 2023
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science30
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks25
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics22
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware16
Science: Science (General): Cybernetics: Information theory13
Technology: Mechanical engineering and machinery13
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software13
Technology: Engineering (General). Civil engineering (General)10
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication7
Technology: Electrical engineering. Electronics. Nuclear engineering3
Medicine: Medicine (General): Medical technology3
Law: Law in general. Comparative and uniform law. Jurisprudence: Comparative law. International uniform law: Medical legislation3
Medicine: Medicine (General)3
Technology: Technology (General): Industrial engineering. Management engineering: Information technology2
Technology: Photography2
Technology: Manufactures: Production management. Operations management1
Bibliography. Library science. Information resources1
Bibliography. Library science. Information resources: Information resources (General)1
Social Sciences1
Science: Mathematics1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 30 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Fine Tuning Dual Streams Deep Network with Multi-scale Pyramid Decision for Heterogeneous Face Recognition and was published in 2018. The most recent citation comes from a 2024 study titled Universal Heterogeneous Face Analysis via Multi-Domain Feature Disentanglement. This article reached its peak citation in 2019, with 11 citations. It has been cited in 30 different journals, 10% of which are open access. Among related journals, the IEEE Transactions on Information Forensics and Security cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year