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Inferring Facial Action Units with Causal Relations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-85066-3_3openalex-snapshot
A Tutorial on Learning with Bayesian Networks
inferredcites →https://doi.org/10.1016/s0921-8890(99)00103-7openalex-snapshot
Detection, tracking, and classification of action units in facial expression
inferredcites →https://doi.org/10.1016/s1077-3142(03)00081-xopenalex-snapshot
Facial expression recognition from video sequences: temporal and static modeling
inferredcites →https://doi.org/10.1023/b:visi.0000013087.49260.fbopenalex-snapshot
Robust Real-Time Face Detection
inferredcites →https://doi.org/10.1109/34.506414openalex-snapshot
Recognizing human facial expressions from long image sequences using optical flow
inferredcites →https://doi.org/10.1109/34.541406openalex-snapshot
Image representation using 2D Gabor wavelets
inferredcites →https://doi.org/10.1109/34.598231openalex-snapshot
Automatic interpretation and coding of face images using flexible models
inferredcites →https://doi.org/10.1109/34.598232openalex-snapshot
Coding, analysis, interpretation, and recognition of facial expressions
inferredcites →https://doi.org/10.1109/34.908962openalex-snapshot
Recognizing action units for facial expression analysis
inferredcites →https://doi.org/10.1109/afgr.1998.670990openalex-snapshot
Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron
inferredcites →https://doi.org/10.1109/afgr.2000.840611openalex-snapshot
Comprehensive database for facial expression analysis
inferredcites →https://doi.org/10.1109/afgr.2002.1004159openalex-snapshot
Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity
inferredcites →https://doi.org/10.1109/amfg.2003.1240843openalex-snapshot
Fully automatic upper facial action recognition
inferredcites →https://doi.org/10.1109/cvpr.2004.1315256openalex-snapshot
Facial event classification with task oriented dynamic Bayesian network
inferredcites →https://doi.org/10.1109/cvpr.2005.297openalex-snapshot
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
inferredcites →https://doi.org/10.1109/cvpr.2005.457openalex-snapshot
Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data
inferredcites →https://doi.org/10.1109/icpr.2000.905664openalex-snapshot
Recognition of asymmetric facial action unit activities and intensities
inferredcites →https://doi.org/10.1109/tpami.2005.93openalex-snapshot
Active and dynamic information fusion for facial expression understanding from image sequences
inferredcites →https://doi.org/10.1109/tsmcb.2004.825931openalex-snapshot
Facial Action Recognition for Facial Expression Analysis From Static Face Images
inferredcites →https://doi.org/10.1145/203330.203334openalex-snapshot
Real-world applications of Bayesian networks
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-0-387-93808-0_18openalex-snapshot
Recognizing Facial Expressions Automatically from Video
inferred← citeshttps://doi.org/10.1007/978-0-85729-127-1_27openalex-snapshot
Video Analytics for Force Protection
inferred← citeshttps://doi.org/10.1007/978-81-322-0491-6_66openalex-snapshot
Facial Action Point Based Emotion Recognition by Principal Component Analysis
inferred← citeshttps://doi.org/10.1007/s10044-007-0084-8openalex-snapshot
Recognising facial expressions in video sequences
inferred← citeshttps://doi.org/10.1007/s12193-020-00363-7openalex-snapshot
Facial expression and action unit recognition augmented by their dependencies on graph convolutional networks
inferred← citeshttps://doi.org/10.1016/j.patcog.2009.04.006openalex-snapshot
Learning Bayesian network parameters under incomplete data with domain knowledge
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.07.028openalex-snapshot
Expression-assisted facial action unit recognition under incomplete AU annotation
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.12.007openalex-snapshot
Feature and label relation modeling for multiple-facial action unit classification and intensity estimation
inferred← citeshttps://doi.org/10.1016/j.patcog.2019.02.006openalex-snapshot
Learning Bayesian networks using the constrained maximum a posteriori probability method
inferred← citeshttps://doi.org/10.1109/cvpr.2007.383061openalex-snapshot
Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features
inferred← citeshttps://doi.org/10.1109/cvpr.2007.383278openalex-snapshot
A Unified Probabilistic Framework for Facial Activity Modeling and Understanding
inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587368openalex-snapshot
Learning Bayesian Networks with qualitative constraints
inferred← citeshttps://doi.org/10.1109/cvpr.2009.5206612openalex-snapshot
Learning partially-observed hidden conditional random fields for facial expression recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298833openalex-snapshot
Joint patch and multi-label learning for facial action unit detection
inferred← citeshttps://doi.org/10.1109/fg.2015.7163081openalex-snapshot
Exploiting sparsity and co-occurrence structure for action unit recognition
inferred← citeshttps://doi.org/10.1109/icpr.2014.293openalex-snapshot
Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00044openalex-snapshot
SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing
inferred← citeshttps://doi.org/10.1109/tip.2016.2570550openalex-snapshot
Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition
inferred← citeshttps://doi.org/10.1109/tlt.2013.31openalex-snapshot
A Theory-Driven Approach to Predict Frustration in an ITS
inferred← citeshttps://doi.org/10.1109/tsmcb.2009.2021272openalex-snapshot
Efficient Sensor Selection for Active Information Fusion
inferred← citeshttps://doi.org/10.1145/2671188.2749311openalex-snapshot
Facial Action Unit Classification with Hidden Knowledge under Incomplete Annotation
inferred← citeshttps://doi.org/10.23919/ccc52363.2021.9550304openalex-snapshot
Pain Assessment Using Facial Action Units and Bayesian Network
inferred← citeshttps://doi.org/10.25560/1394openalex-snapshot
Timing is everything: A spatio-temporal approach to the analysis of facial actions
inferred← citeshttps://doi.org/10.3389/fpsyg.2021.606548openalex-snapshot
Nonverbal Social Sensing: What Social Sensing Can and Cannot Do for the Study of Nonverbal Behavior From Video
inferred← citeshttps://doi.org/10.4018/978-1-61520-991-0.ch012openalex-snapshot
From Face to Facial Expression
inferred← citeshttps://doi.org/10.4225/03/58ae405381285openalex-snapshot
Enriching the student model in an intelligent tutoring system
inferred← citeshttps://doi.org/10.4304/jmm.1.6.22-35openalex-snapshot
Automatic Recognition of Facial Actions in Spontaneous Expressions
inferred← citeshttps://doi.org/10.5772/6558openalex-snapshot
Linear Subspace Learning for Facial Expression Analysis
inferred← citeshttps://doi.org/10.7282/t3bc3z9ropenalex-snapshot
Video-based facial expression analysis
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