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Timing is everything: A spatio-temporal approach to the analysis of facial actions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Differentiating emotion elicited and deliberate emotional facial expressions
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Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection
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Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition
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An analysis of the encoding and decoding of spontaneous and posed smiles: The use of facial electromyography
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Information extraction from image sequences of real-world facial expressions
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Movement Differences between Deliberate and Spontaneous Facial Expressions: Zygomaticus Major Action in Smiling
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Expression is computed separately from facial identity, and it is computed separately for moving and static faces: Neuropsychological evidence
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Manifold based analysis of facial expression
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Dynamics of facial expression extracted automatically from video
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The Psychology of Facial Expression
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CONDENSATION—Conditional Density Propagation for Visual Tracking
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The Intensity of Emotional Facial Expressions and Decoding Accuracy
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Facial motion in the perception of faces and of emotional expression.
inferredcites →https://doi.org/10.1037//0278-6133.17.4.376openalex-snapshot
Facial expression and the affective component of cynical hostility in male coronary heart disease patients.
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The Emotional Integration of Childhood Experience: Physiological, Facial Expressive, and Self-Reported Emotional Response During the Adult Attachment Interview.
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inferredcites →https://doi.org/10.1037/10001-000openalex-snapshot
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Linkages between facial expressions of anger and transient myocardial ischemia in men with coronary artery disease.
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inferredcites →https://doi.org/10.1080/02699939208411068openalex-snapshot
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inferredcites →https://doi.org/10.1093/acprof:oso/9780195179644.001.0001openalex-snapshot
What the Face RevealsBasic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS)
inferredcites →https://doi.org/10.1093/bioinformatics/bti429openalex-snapshot
A protocol for building and evaluating predictors of disease state based on microarray data
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Coding, analysis, interpretation, and recognition of facial expressions
inferredcites →https://doi.org/10.1109/34.655647openalex-snapshot
Neural network-based face detection
inferredcites →https://doi.org/10.1109/34.655648openalex-snapshot
Example-based learning for view-based human face detection
inferredcites →https://doi.org/10.1109/34.895976openalex-snapshot
Automatic analysis of facial expressions: the state of the art
inferredcites →https://doi.org/10.1109/34.908962openalex-snapshot
Recognizing action units for facial expression analysis
inferredcites →https://doi.org/10.1109/34.927464openalex-snapshot
From few to many: illumination cone models for face recognition under variable lighting and pose
inferredcites →https://doi.org/10.1109/34.982883openalex-snapshot
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inferredcites →https://doi.org/10.1109/5.18626openalex-snapshot
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Parameterisation of a stochastic model for human face identification
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Locating facial features in image sequences using neural networks
inferredcites →https://doi.org/10.1109/afgr.1998.670949openalex-snapshot
Coding facial expressions with Gabor wavelets
inferredcites →https://doi.org/10.1109/afgr.2000.840611openalex-snapshot
Comprehensive database for facial expression analysis
inferredcites →https://doi.org/10.1109/afgr.2002.1004143openalex-snapshot
Hierarchical wavelet networks for facial feature localization
inferredcites →https://doi.org/10.1109/afgr.2002.1004168openalex-snapshot
Model-based face tracking for view-independent facial expression recognition
inferredcites →https://doi.org/10.1109/afgr.2004.1301515openalex-snapshot
Particle filtering with factorized likelihoods for tracking facial features
inferredcites →https://doi.org/10.1109/afgr.2004.1301517openalex-snapshot
An automated face reader for fatigue detection
inferredcites →https://doi.org/10.1109/afgr.2004.1301520openalex-snapshot
Multimodal coordination of facial action, head rotation, and eye motion during spontaneous smiles
inferredcites →https://doi.org/10.1109/afgr.2004.1301548openalex-snapshot
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inferredcites →https://doi.org/10.1109/amfg.2003.1240846openalex-snapshot
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inferredcites →https://doi.org/10.1109/crv.2006.1openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.1994.323814openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.1998.698704openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2004.1315241openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2004.427openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2005.188openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2006.154openalex-snapshot
Inferring Facial Action Units with Causal Relations
inferredcites →https://doi.org/10.1109/cvpr.2006.22openalex-snapshot
A Detection Technique for Degraded Face Images
inferredcites →https://doi.org/10.1109/cvprw.2006.85openalex-snapshot
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Using a Tensor Framework for the Analysis of Facial Dynamics
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A 3D Facial Expression Database For Facial Behavior Research
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Facial expression recognition from video sequences
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Case-based reasoning for user-profiled recognition of emotions from face images
inferredcites →https://doi.org/10.1109/icme.2005.1521424openalex-snapshot
Web-Based Database for Facial Expression Analysis
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Machine learning methods for fully automatic recognition of facial expressions and facial actions
inferredcites →https://doi.org/10.1109/icsmc.2005.1571287openalex-snapshot
Tracking deformable motion
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Detecting Facial Actions and their Temporal Segments in Nearly Frontal-View Face Image Sequences
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Toward an affect-sensitive multimodal human-computer interaction
inferredcites →https://doi.org/10.1109/jproc.2003.823142openalex-snapshot
Particle Methods for Change Detection, System Identification, and Control
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Learning multiview face subspaces and facial pose estimation using independent component analysis
inferredcites →https://doi.org/10.1109/tip.2006.884954openalex-snapshot
Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Human–Robot Facial Expression Reciprocal Interaction Platform: Case Studies on Children with Autism
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Intelligent task planner for cloud robotics using level of attention empowered with fuzzy system
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A benchmark of dynamic versus static methods for facial action unit detection
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Decoupling facial expressions and head motions in complex emotions
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Post-Paralysis Upper Facial Movement Restoration in Real Time using Soft Actuators
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The Detection of Concept Frames Using Clustering Multi-instance Learning
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Decision Level Fusion of Domain Specific Regions for Facial Action Recognition
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Geometrical facial modeling for emotion recognition
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Modelling Stochastic Context of Audio-Visual Expressive Behaviour With Affective Processes
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Wavelet-based Recognition of Facial Expressions and Faces
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Modelagem computacional para reconhecimento de emoções baseada na análise facial
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User Experience and Digitally Transformed/Converted Emotions
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