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Biomedical Image Analysis - We are an interdisciplinary team interested in develping algorithms for biomedical image analysis under an image feature-based machine learning framework.
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Component Analysis - The Component Analysis Lab is
devoted to research new learning techniques to encode and decompose a
given signal into relevant components for classification, clustering,
modeling and visualization.
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Computational Symmetry - We are develping techniques for applying computational symmetry (symmetry detection, representation, and reasoning) in computer vision, graphics and robotics.
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Face Group - Robust detection, recognition, and tracking of human faces with automated analysis of expressions
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Human Identification at a Distance - We are developing and evaluating human identification technologies as part of the Defense Advanced Research Projects Agency (DARPA) sponsored program in Human Identification at a Distance (HumanID).
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Human Sensing - The goal of the Human Sensing Lab is to develop new machine learning algorithms to model and understand human behavior from sensory data.
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Depression Assessment - This project aims to compute quantitative behavioral measures related to
depression severity from facial expression, body gestures, and vocal
prosody in clinical interviews.
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Facial Expression Analysis - Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for the applications of MPEG4 application: teleconferencing, human-computer interaction/interface.
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Quality of Life Technology Center - QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.
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