ArticleIEEE transactions on biometrics, behavior, and identity science2020
Crossing Domains for AU Coding: Perspectives, Approaches, and Measures.
Article in IEEE transactions on biometrics, behavior, and identity science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Using Automated Coding of Nonverbal Behavior During a Suicide Assessment to Inform Risk Detection: Mixed Cross-Sectional and Exploratory Prospective Study.JMIR formative research · 2026Article
- LibreFace 2.0: A Generalizable Facial Expression Analysis Toolkit Leveraging Synthetic Data.Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition · 2026Article
- A Review of 25 Spontaneous and Dynamic Facial Expression Databases of Basic Emotions.Affective science · 2025Review
- Beyond FACS: Data-driven Facial Expression Dictionaries, with Application to Predicting Autism.Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition · 2025Article
- Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM.PloS one · 2025Article
- Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models.Sensors (Basel, Switzerland) · 2023Review
- Infant AFAR: Automated facial action recognition in infants.Behavior research methods · 2023Article
- Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring.IEEE transactions on affective computing · 2023Article
- SHAP-based Prediction of Mother's History of Depression to Understand the Influence on Child Behavior.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2023Article
- Macro- and Micro-Expressions Facial Datasets: A Survey.Sensors (Basel, Switzerland) · 2022Review
- Assessing Automated Facial Action Unit Detection Systems for Analyzing Cross-Domain Facial Expression Databases.Sensors (Basel, Switzerland) · 2021Article
- Synthetic Expressions are Better Than Real for Learning to Detect Facial Actions.IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2021Article
- Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes.IEEE transactions on affective computingArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Facial action unit (AU) detectors have performed well when trained and tested within the same domain. How well do AU detectors transfer to domains in which they have not been trained? We review literature on cross-domain transfer and conduct experiments to address limitations of prior research. We evaluate generalizability in four publicly available databases. EB
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.