Area of research
Computer Vision and Pattern Recognition · Experimental and Cognitive Psychology
Research interest
Research interests include Emotion and Mood Recognition, Face recognition and analysis, Face Recognition and Perception, and Face and Expression Recognition.
Expanding PyAFAR: A Novel Privacy-Preserving Infant AU Detector
Aperiodic neural activity is a biomarker for depression severity
Infant AFAR: Automated facial action recognition in infants
Deep Brain Stimulation for Depression Informed by Intracranial Recordings
A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation
Interpretation of Depression Detection Models via Feature Selection Methods
A Person- and Time-Varying Vector Autoregressive Model to Capture Interactive Infant-Mother Head Movement Dynamics
The Case for Adaptive Neuromodulation to Treat Severe Intractable Mental Disorders
Objective measurement of head movement differences in children with and without autism spectrum disorder
A Branch-and-Bound Framework for Unsupervised Common Event Discovery
Representing Self-organization and Nonstationarities in Dyadic Interaction Processes Using Dynamic Systems Modeling Techniques
Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions
Head Movement Dynamics during Play and Perturbed Mother-Infant Interaction
Unsupervised Synchrony Discovery in Human Interaction
BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
Darwin’s Duchenne: Eye Constriction during Infant Joy and Distress
Head Movement Dynamics during Normal and Perturbed Parent-Infant Interaction
Intensity measurement of spontaneous facial actions: Evaluation of different image representations
SCH: INT: Collaborative Research: Dyadic Behavior Informatics for Psychotherapy Process and Outcome
CI-SUSTAIN: Collaborative Research: Extending a Large Multimodal Corpus of Spontaneous Behavior for Automated Emotion Analysis
SCH: INT: Collaborative Research: Learning and Sensory-based Modeling for Adaptive Web-Empowerment Trauma Treatment
WORKSHOP: Doctoral Consortium at the ACM International Conference on Multimodal Interaction 2014
CI-ADDO-EN: Collaborative Research: 3D Dynamic Multimodal Spontaneous Emotion Corpus for Automated Facial Behavior and Emotion Analysis
EAGER: Spontaneous 4D-Facial Expression Corpus for Automated Facial Image Analysis