Qiang Ji

Latest

• A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis
• Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition
• Knowledge-Augmented Multimodal Deep Regression Bayesian Networks for Emotion Video Tagging
• Posed and Spontaneous Expression Distinction Using Latent Regression Bayesian Networks
• Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey
• Capturing Feature and Label Relations Simultaneously for Multiple Facial Action Unit Recognition
• Content-Based Video Emotion Tagging Augmented by Users' Multiple Physiological Responses
• Facial Action Unit Recognition and Intensity Estimation Enhanced Through Label Dependencies
• Facial Action Unit Recognition Augmented by Their Dependencies
• Thermal Augmented Expression Recognition
• 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
• Deep Facial Action Unit Recognition from Partially Labeled Data
• Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network
• Expression-assisted facial action unit recognition under incomplete AU annotation
• Feature and label relation modeling for multiple-facial action unit classification and intensity estimation
• Capturing global spatial patterns for distinguishing posed and spontaneous expressions
• 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
• 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
• Emotion Recognition with the Help of Privileged Information
• 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
• Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition
• Capturing Global Semantic Relationships for Facial Action Unit Recognition
• 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
• Bias analyses of spontaneous facial expression database