Jeffrey Cohn is Professor of Psychology and Psychiatry at the University of Pittsburgh and Adjunct Professor of Computer Science at the Robotics Institute at Carnegie Mellon University. He leads interdisciplinary and inter-institutional efforts to develop advanced methods of automatic analysis and synthesis of facial expression and prosody and applies those tools to research in human emotion, social development, non-verbal communication, psychopathology, and biomedicine. His research has been supported by grants from the U.S. National Institutes of Health, National Science Foundation, Autism Foundation, Office of Naval Research, and Defense Advanced Research Projects Agency among other sponsors.
He co-chaired the IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017, FG2015, and FG2008), the International Conference on Affective Computing and Intelligent Interaction (ACII 2009), and the International Conference on Multimodal Interfaces (ACM 2014). He is a co-editor of IEEE Transactions in Affective Computing (TAC) and has co-edited special issues on affective computing for the Journal of Image and Vision Computing, Pattern Recognition Letters, Computer Vision and Image Understanding, and ACM Transactions on Interactive Intelligent Systems.
Facial Expression Recognition and Analysis Challenge (FERA 2017).
IEEE International Conference on Automatic Face and Gesture Recognition, Washington, DC. May 30 - June 3, 2017 FG 2017
Pattern Recognition Letters: Special Issue on Personalized- and Context-sensitive Interfaces in the Wild (2016) PRL Special Issue
1st Workshop on 3D Face Alignment in the Wild & Challenge. European Conference on Computer Vision (ECCV 2016), Amsterdam, The Netherlands. 3DFAW
Workshop on Human Behavior Understanding (HBU 2016), ACM Multimedia, Amsterdam, The Netherlands. HBU 2016
Adaptive DBS in Non-Motor Neuropsychiatric Disorders: Regulating Limbic Circuit Imbalance. National Institute of Neurological Disorders and Stroke, 9/1/2016 to 8/31/2021.
Automated Facial Expression Analysis for Research and Clinical Use.
National Institute of Mental Health, 5/1/2012 to 4/30/2017.
Modeling the Dynamics of Communication and Development. National
Institute of General Medicine, 8/1/2013 to 7/31/2017.
CI-SUSTAIN: Collaborative Research: Extending a Large Multimodal Corpus of Spontaneous Behavior for Automated Emotion Analysis.
National Science Foundation, 7/25/2016 to 7/24/2019.
Collaborative Research: Learning and Sensory-Based Engagement, Arousal, and Self-Efficacy Modeling for Adaptive Web-Empowerment Trauma Treatment. National Science Foundation, 8/16/2014 – 8/15/2018.
Craniofacial Microsomia: Longitudinal Outcomes in Children Pre-Kindergarten. National Institutes of Health, 9/1/2013 to
Robotics Collaborative Technology Alliance (RCTA)." US Army
Research Laboratory, 7/1/2010 to 6/30/2019.
Affective Sensing Technology for the Detection and Monitoring of Depression and Melancholia. Australian Research Council, 1/01/2013 to
Large Scale, Personalized, Facial Action Unit
Detection for Expression Recognition. Australian Research Council, 1/1/2014
Visual emotion recognition in a mobile system for the blind
3D alignment from 2D video for action unit detection
Dense 3D alignment in a single image (7 MB)
Mother-infant synchrony (Messinger et al., 2009) Demo7 (130
Expression Demo 4
Demo 5 (large files! Please be patient)
4D Database (BP4D)
Denver Intensity of Spontaneous Facial Actions
UNBC Pain Archive
Performance Metrics for
Continuous Rating and Media Annotation (CARMA)
Face Analysis SDK
Curriculum Vitae PDF DOC
Psychology of Emotion
Seminar in Emotion
David Borton, Brown University
Burrows, Duquesne University
De la Torre, Carnegie Mellon University
Hamdi Dibeklioglu, Delt Institute of Technology
Paul Ekman, University of
California, San Francisco
Sergio Escalera, University of Barcelona
Roland Goecke, University of Camberra
Wayne Goodman, Baylor Medical School
Ralph Gross, Carnegie Mellon
Zakia Hammal, Carnegie Mellon University
Laszlo Jeni, Carnegie Mellon University
Takeo Kanade, Carnegie Mellon University
Patrick Lucey, Disney Research Pittsuburgh
Lucey, CSIRO, Australia and Carnegie Mellon
University of Denver
Disney Research and Carnegie Mellon University
Moore, Pennsylvania State University
Maja Pantic, Imperial College, UK
Daniel Messinger, University of Miami
Louis-Phillipe Morency, Carnegie Mellon University
Sayette, University of Pittsburgh
Stefan Scherer, Institute for Creative Technologies, University of Southern California
Matthew Speltz, Seattle Childrens Hospital
Yin, University of Binghamton