Jeffrey F. Cohn spends much of his time researching Facial expression, Artificial intelligence, Facial recognition system, Speech recognition and Face. His work on Facial Action Coding System as part of general Facial expression research is often related to Expression, thus linking different fields of science. His Artificial intelligence study incorporates themes from Natural language processing, Computer vision and Pattern recognition.
The study incorporates disciplines such as Group method of data handling, Feature extraction, Kappa and Receiver operating characteristic in addition to Facial recognition system. Jeffrey F. Cohn has researched Speech recognition in several fields, including Facial expression recognition, Probabilistic logic, Discrete emotions and Decision function. His Face research incorporates themes from Gradient descent and Local search.
Jeffrey F. Cohn mainly investigates Artificial intelligence, Facial expression, Computer vision, Pattern recognition and Facial recognition system. Artificial intelligence is often connected to Machine learning in his work. His Facial Action Coding System study, which is part of a larger body of work in Facial expression, is frequently linked to Expression, bridging the gap between disciplines.
Many of his studies involve connections with topics such as Face hallucination and Pattern recognition. A large part of his Facial recognition system studies is devoted to Face detection. His studies in Developmental psychology integrate themes in fields like Social relation, Affect and Depression.
His scientific interests lie mostly in Artificial intelligence, Facial expression, Pattern recognition, Computer vision and Face. His Artificial intelligence course of study focuses on Machine learning and Classifier. Jeffrey F. Cohn has included themes like Field, Speech recognition, Face detection and Gesture recognition in his Facial expression study.
His work investigates the relationship between Face detection and topics such as Human–computer interaction that intersect with problems in Facial recognition system. His work in Computer vision addresses issues such as Head, which are connected to fields such as Social relation. He combines subjects such as Consistency, Artificial neural network, Partition and Rotation with his study of Face.
Artificial intelligence, Facial expression, Pattern recognition, Speech recognition and Face are his primary areas of study. His study brings together the fields of Computer vision and Artificial intelligence. His Facial expression research is multidisciplinary, incorporating elements of Field and Gesture recognition.
The concepts of his Speech recognition study are interwoven with issues in Major depressive disorder, Modalities and Facial Action Coding System. His Face research includes elements of Consistency and Rotation. His work deals with themes such as Classifier, Machine learning and Training set, which intersect with Feature extraction.
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The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
Patrick Lucey;Jeffrey F. Cohn;Takeo Kanade;Jason Saragih.
computer vision and pattern recognition (2010)
Comprehensive database for facial expression analysis
T. Kanade;J.F. Cohn;Yingli Tian.
ieee international conference on automatic face and gesture recognition (2000)
Ralph Gross;Iain Matthews;Jeffrey Cohn;Takeo Kanade.
Image and Vision Computing (2010)
Recognizing action units for facial expression analysis
Y.-I. Tian;T. Kanade;J.F. Cohn.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2001)
Deformable Model Fitting by Regularized Landmark Mean-Shift
Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn.
International Journal of Computer Vision (2011)
Face-to-Face Interactions of Postpartum Depressed and Nondepressed Mother-Infant Pairs at 2 Months
Jeffrey F. Cohn;Susan B. Campbell;Reinaldo Matias;Joyce Hopkins.
Developmental Psychology (1990)
Three-month-old infants' reaction to simulated maternal depression.
Jeffrey F. Cohn;Edward Z. Tronick.
Child Development (1983)
A high-resolution spontaneous 3D dynamic facial expression database
Xing Zhang;Lijun Yin;Jeffrey F. Cohn;Shaun Canavan.
ieee international conference on automatic face gesture recognition (2013)
Deciphering the Enigmatic Face: The Importance of Facial Dynamics in Interpreting Subtle Facial Expressions
Zara Ambadar;Jonathan W. Schooler;Jeffrey F. Cohn.
Psychological Science (2005)
Depression in First-Time Mothers: Mother-Infant Interaction and Depression Chronicity.
Susan B. Campbell;Jeffrey F. Cohn;Teri Meyers.
Developmental Psychology (1995)
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