Expression Invariance
Expression Invariance is a property of facial representation models in face recognition that enables consistent identification across variations in facial expressions by encoding identity-specific features while suppressing expression-related changes.
72
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4K
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217
Authors
111
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2017–2026
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Identity-Aware Convolutional Neural Network for Facial Expression Recognition
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
Soubhik Sanyal, Timo Bolkart, Haiwen Feng et al. · 2019 · 328 citations
I‐Hua Chen, Carol Strong, Yi-Ching Lin et al. · Addictive Behaviors · 2019 · 234 citations
Expression invariant 3D face recognition with a Morphable Model
Brian Amberg, Reinhard Knothe, Thomas Vetter · 2008 · 194 citations
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KU Leuven
Leuven, Belgium
3 h-index
15 publications
450 citations
Institute of Automation
Beijing, China
2 h-index
8 publications
660 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
484 citations
Arizona State University
Tempe, United States
2 h-index
4 publications
248 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
660 citations
National Chung Cheng University
Minxiong, Taiwan
2 h-index
3 publications
39 citations

Data61
Sydney, Australia
2 h-index
2 publications
70 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
6 publications
84 citations
1–8 of 111
2 publications · 85 citations
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Conference · 2 publications · 124 citations
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2 publications · 237 citations
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2 publications · 64 citations
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Repository · 2 publications · 40 citations
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