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Learning deep facial expression features from image and optical flow sequences using 3D CNN

Research article (The Visual Computer, 2018) · cited 76× · AI/ML
academia openalex:W2801997881
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Learning deep facial expression features from image and optical flow sequences using 3D CNN

Summary

Learning deep facial expression features from image and optical flow sequences using 3D CNN is a scholarly article[1].

Key Facts

  • Learning deep facial expression features from image and optical flow sequences using 3D CNN's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning deep facial expression features from image and optical flow sequences using 3D CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-deep-facial-expression-features-from-image-and-optical-flow-sequences-using-3d-cnn
MLA “Learning deep facial expression features from image and optical flow sequences using 3D CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-deep-facial-expression-features-from-image-and-optical-flow-sequences-using-3d-cnn.
BibTeX @misc{4ortxyz_learning-deep-facial-expression-features-from-image-and-optical-flow-sequences-using-3d-cnn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning deep facial expression features from image and optical flow sequences using 3D CNN}}, year = {2026}, url = {https://4ort.xyz/entity/learning-deep-facial-expression-features-from-image-and-optical-flow-sequences-using-3d-cnn}, note = {Accessed: 2026-05-24}}
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