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Facial Action Coding System
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“FOMM learns dense optical low to support complex motions with fewer artifacts, whereas ICface and FSGAN only use sparse action units [13] or facial landmarks to learn the expression and pose, which tend to produce motion artifacts.”
From DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models (2024) · cites this paper as [13]
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Items 1,001–1,027 of 1,027
Graham, R., Devinsky, O., & LaBar, K. S. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.04.021 · Cited by 67
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Zaker, N., Mahoor, M. H., Mattson, W. I., Messinger, D. S., & Cohn, J. F. (2012) · 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL) · doi:10.1109/devlrn.2012.6400846 · Cited by 10
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DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models
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Existential threat and responses to emotional displays of ingroup and outgroup members
Wessler, J., van der Schalk, J., Hansen, J., Klackl, J., Jonas, E., Fons, M., Doosje, B., & Fischer, A. (2023) · Group Processes & Intergroup Relations · doi:10.1177/13684302221128229 · Cited by 3
Richards, L., & Oun, A. (2026) · 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC) · doi:10.1109/satc69565.2026.11542421
Thota, A., Sri, N. D., Dinesh, K., & Prasannatha, A. (2026) · 2026 9th International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei68323.2026.11542103
Should I Be Worried? Worry in Dunhuang Divination
Zhao, L. (2024) · International Journal of Divination and Prognostication · doi:10.1163/25899201-bja10016
Metadata
- Authors
- Ekman, P., & Friesen, W. V.
- Venue
- PsycTESTS Dataset
- Published
- 1978
- OpenAlex
- W1588539311
- Cited by
- 6,019
- References
- 0
- Citations by year
- 2026: 288 · 2025: 447 · 2024: 367 · 2023: 379 · 2022: 314 · 2021: 204 · 2020: 218 · 2019: 195 · 2018: 227 · 2017: 199 · 2016: 244 · 2015: 233 · 2014: 214 · 2013: 208 · 2012: 174
- Type
- dataset
- Language
- en
- Open access
- closed
- Locations
- PsycTESTS Dataset (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- facial expressions, facial action units, emotion recognition, facial motion
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