Automatic micro-expression apex spotting using Cubic-LBP

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Cite
Esmaeili, Vida, and Seyed Omid Shahdi. “Automatic Micro-Expression Apex Spotting Using Cubic-LBP”. Multimedia Tools and Applications, vol. 79, no. 27-28, 2020, pp. 20221-39, https://doi.org/10.1007/s11042-020-08737-5.
Esmaeili, V., & Shahdi, S. O. (2020). Automatic micro-expression apex spotting using Cubic-LBP. Multimedia Tools and Applications, 79(27-28), 20221-20239. https://doi.org/10.1007/s11042-020-08737-5
Esmaeili, Vida, and Seyed Omid Shahdi. “Automatic Micro-Expression Apex Spotting Using Cubic-LBP”. Multimedia Tools and Applications 79, no. 27-28 (2020): 20221-39. https://doi.org/10.1007/s11042-020-08737-5.
Esmaeili V, Shahdi SO. Automatic micro-expression apex spotting using Cubic-LBP. Multimedia Tools and Applications. 2020;79(27-28):20221-39.
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Refrences
Title Journal Journal Categories Citations Publication Date
3D Approaches and Challenges in Facial Expression Recognition Algorithms—A Literature Review

Applied Sciences
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Biology (General)
  • Science: Physics
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Science: Physics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
35 2019
10.1109/TAFFC.2017.2654440 IEEE Transactions on Affective Computing 2018
10.1109/TAFFC.2017.2667642 IEEE Transactions on Affective Computing 2018
10.1109/TAFFC.2016.2573832 IEEE Transactions on Affective Computing 2018
10.1109/TAFFC.2015.2485205 IEEE Transactions on Affective Computing 2016
Citations
Title Journal Journal Categories Citations Publication Date
Self-supervised facial expression recognition with fine-grained feature selection The Visual Computer
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • 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
Facial micro-expression recognition using three-stream vision transformer network with sparse sampling and relabeling Signal, Image and Video Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
STEFF: Spatio-temporal EfficientNet for dynamic texture classification in outdoor scenes Heliyon 2024
A review of micro-expression spotting: methods and challenges Multimedia Systems
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • 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
1 2023
PERSIST: Improving micro-expression spotting using better feature encodings and multi-scale Gaussian TCN Applied Intelligence
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
3 2022
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 6 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Facial Micro-Expression Recognition Using Two-Dimensional Landmark Feature Maps and was published in 2020. The most recent citation comes from a 2024 study titled Self-supervised facial expression recognition with fine-grained feature selection. This article reached its peak citation in 2022, with 4 citations. It has been cited in 9 different journals, 33% of which are open access. Among related journals, the The Visual Computer cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year