Latest

• A Multi-Modal Hierarchical Recurrent Neural Network for Depression Detection
• Incoming Talk in The 36th CSIG young elite Qingyun Forum
• A Multi-Stage Visual Perception Approach for Image Emotion Analysis
• Pose-robust personalized facial expression recognition through unsupervised multi-source domain adaptation
• MEDIC: A Multimodal Empathy Dataset in Counseling
• Patch-Aware Representation Learning for Facial Expression Recognition
• Progressive Visual Content Understanding Network for Image Emotion Classification
• Incoming Talk in The 2023 CSIG Conference on Emotional Intelligence
• Pose-Aware Facial Expression Recognition Assisted by Expression Descriptions
• Privacy-Protected Facial Expression Recognition Augmented by High-Resolution Facial Images
• UniFaRN: Unified Transformer for Facial Reaction Generation
• Occluded Facial Expression Recognition using Self-supervised Learning
• Human Pose Estimation with Shape Aware Loss
• Low-Resolution Face Recognition Enhanced by High-Resolution Facial Images
• Knowledge Guided Representation Disentanglement for Face Recognition from Low Illumination Images
• Representation Learning through Multimodal Attention and Time-sync Comments for Video Affective Content Analysis
• Two-Stage Multi-Scale Resolution-Adaptive Network for Low-Resolution Face Recognition
• Adversarial Stacking Ensemble for Facial Landmark Tracking
• Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition
• Pose-Invariant Facial Expression Recognition
• Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain
• Emotional Attention Detection and Correlation Exploration for Image Emotion Distribution Learning
• Capturing Emotion Distribution for Multimedia Emotion Tagging
• Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition
• Multi-task face analyses through adversarial learning
• Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking
• Dual Learning for Facial Action Unit Detection Under Nonfull Annotation
• A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis
• Capturing Joint Label Distribution for Multi-Label Classification Through Adversarial Learning
• Exploiting Multi-Emotion Relations at Feature and Label Levels for Emotion Tagging
• Exploiting Self-Supervised and Semi-Supervised Learning for Facial Landmark Tracking with Unlabeled Data
• Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition
• Knowledge-Augmented Multimodal Deep Regression Bayesian Networks for Emotion Video Tagging
• Learning from Macro-expression: a Micro-expression Recognition Framework
• Occluded Facial Expression Recognition with Step-Wise Assistance from Unpaired Non-Occluded Images
• Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition
• Posed and Spontaneous Expression Distinction Using Latent Regression Bayesian Networks
• Unpaired Multimodal Facial Expression Recognition
• Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey
• Capturing Feature and Label Relations Simultaneously for Multiple Facial Action Unit Recognition
• Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning
• Content-Based Video Emotion Tagging Augmented by Users' Multiple Physiological Responses
• Dual Semi-Supervised Learning for Facial Action Unit Recognition
• Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies
• Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning
• Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning
• Integrating Facial Images, Speeches and Time for Empathy Prediction
• KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
• Multiple Face Analyses through Adversarial Learning
• Occluded Facial Expression Recognition Enhanced through Privileged Information
• Weakly Supervised Dual Learning for Facial Action Unit Recognition
• Facial Action Unit Recognition Augmented by Their Dependencies
• Facial Expression Recognition Enhanced by Thermal Images through Adversarial Learning
• Learning with privileged information for multi-Label classification
• Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network
• Thermal Augmented Expression Recognition
• Weakly Supervised Facial Action Unit Recognition Through Adversarial Training
• Weakly Supervised Facial Action Unit Recognition With Domain Knowledge
• A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses
• Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data
• Capturing Spatial and Temporal Patterns for Distinguishing between Posed and Spontaneous Expressions
• Deep Facial Action Unit Recognition from Partially Labeled Data
• Deep multimodal network for multi-label classification
• Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network
• Emotion recognition through integrating EEG and peripheral signals
• Exploring Domain Knowledge for Affective Video Content Analyses
• Expression-assisted facial action unit recognition under incomplete AU annotation
• Feature and label relation modeling for multiple-facial action unit classification and intensity estimation
• Learning with Privileged Information for Multi-Label Classification
• Personalized video emotion tagging through a topic model
• Capturing global spatial patterns for distinguishing posed and spontaneous expressions
• Emotion Recognition from EEG Signals Enhanced by User's Profile
• Emotion recognition from peripheral physiological signals enhanced by EEG
• Employing subjects' information as privileged information for emotion recognition from EEG signals
• Facial Expression Intensity Estimation Using Ordinal Information
• Facial expression recognition through modeling age-related spatial patterns
• Facial Expression Recognition with Deep two-view Support Vector Machine
• Gender recognition from visible and thermal infrared facial images
• Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses
• Multiple Facial Action Unit recognition by learning joint features and label relations
• Multiple facial action unit recognition enhanced by facial expressions
• Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine
• Emotion Recognition from EEG Signals by Leveraging Stimulus Videos
• Emotion Recognition from EEG Signals using Hierarchical Bayesian Network with Privileged Information
• Emotion Recognition with the Help of Privileged Information
• Enhanced facial expression recognition by age
• Expression Recognition from Visible Images with the Help of Thermal Images
• Facial Action Unit Classification with Hidden Knowledge under Incomplete Annotation
• Implicit video emotion tagging from audiences' facial expression
• Learning with privileged information using Bayesian networks
• Multi-instance Hidden Markov Model for facial expression recognition
• Multiple Aesthetic Attribute Assessment by Exploiting Relations Among Aesthetic Attributes
• Multiple Emotion Tagging for Multimedia Data by Exploiting High-Order Dependencies Among Emotions
• Multiple emotional tagging of multimedia data by exploiting dependencies among emotions
• Posed and spontaneous expression recognition through modeling their spatial patterns
• Posed and spontaneous facial expression differentiation using deep Boltzmann machines
• Video Affective Content Analysis: A Survey of State-of-the-Art Methods
• Capture expression-dependent AU relations for expression recognition
• Early Facial Expression Recognition Using Hidden Markov Models
• Emotion recognition from thermal infrared images using deep Boltzmann machine
• Emotion recognition from users' EEG signals with the help of stimulus VIDEOS
• Enhancing multi-label classification by modeling dependencies among labels
• Exploiting multi-expression dependences for implicit multi-emotion video tagging
• Facial Action Unit recognition by relation modeling from both qualitative knowledge and quantitative data
• Fusion of visible and thermal images for facial expression recognition
• Hybrid video emotional tagging using users' EEG and video content
• Multi-label Learning with Missing Labels
• Multiple-Facial Action Unit Recognition by Shared Feature Learning and Semantic Relation Modeling
• Sequence-based bias analysis of spontaneous facial expression databases
• Active Labeling of Facial Feature Points
• Analyses of a Multimodal Spontaneous Facial Expression Database
• Analyses of the Differences between Posed and Spontaneous Facial Expressions
• Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition
• Capturing Global Semantic Relationships for Facial Action Unit Recognition
• Emotional Influence on SSVEP Based BCI
• Emotional tagging of videos by exploring multiple emotions' coexistence
• Eye localization from thermal infrared images
• Facial Expression Recognition Using Deep Boltzmann Machine from Thermal Infrared Images
• Implicit video multi-emotion tagging by exploiting multi-expression relations
• Simultaneous Facial Feature Tracking and Facial Expression Recognition
• A qualitative and quantitative study of color emotion using valence-arousal
• Analysis of Affective Effects on Steady-State Visual Evoked Potential Responses
• Bias analyses of spontaneous facial expression database
• Eye Localization from Infrared Thermal Images
• Facial expression recognition from infrared thermal images using temperature difference by voting
• Facial Expression Recognition from Infrared Thermal Videos
• Posed and spontaneous expression distinguishment from infrared thermal images
• Similarity Measurement and Feature Selection Using Genetic Algorithm
• Spontaneous Facial Expression Recognition by Fusing Thermal Infrared and Visible Images
• A real-time attitude recognition by eye-tracking
• Affective Classification in Video Based on Semi-supervised Learning
• Emotion Recognition Using Hidden Markov Models from Facial Temperature Sequence
• Spontaneous Facial Expression Recognition Based on Feature Point Tracking
• Spontaneous facial expression recognition by using feature-level fusion of visible and thermal infrared images
• Towards robot incremental learning constraints from comparative demonstration
• A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference
• A spontaneous facial expression recognition method using head motion and AAM features
• An emotional harmony generation system
• Infrared Face Recognition Based on Histogram and K-Nearest Neighbor Classification
• Musical perceptual similarity estimation using interactive genetic algorithm
• Emotional speech synthesis by XML file using interactive genetic algorithms
• Analysis of Relationships between Color and Emotion by Classification Based on Associations
• Emotional Music Generation Using Interactive Genetic Algorithm
• Infrared Facial Expression Recognition Using Wavelet Transform
• User Fatigue Reduction by an Absolute Rating Data-trained Predictor in IEC
• Case-Based Facial Action Units Recognition Using Interactive Genetic Algorithm
• Emotion Semantics Image Retrieval: An Brief Overview
• Evaluation of User Fatigue Reduction Through IEC Rating-Scale Mapping
• Kansei-Oriented Image Retrieval