Recognizing the Future
Collaborative Approach to the Development of Computer Vision Algorithms
The University of Denver's Mohammad Mahoor partnered with professors from the University of Miami and the University of Pittsburgh to pioneer the development of facial expression recognition algorithms. Together, Dr. Mahoor (DU) and the team of scholars demonstrated the potential impact of multidisciplinary teamwork on the fields of affective computing and artificial intelligence.
About DU Research
We leverage cross-institutional collaboration to address some of today’s most pressing challenges, producing interdisciplinary solutions that influence policymakers to effectively serve the public good. From Stanford to UChicago to NYU, we’ve refined our collaborative process through years of mutually beneficial relationships with institutions nationwide to understand and address challenges like climate change, HIV and youth homelessness.
DU’s current research efforts have been featured in news outlets like The New York Times. They include…
- exploring the effects of felony disenfranchisement.
- employing lasers as the medium for quantum science.
- using theatre to heal and rehabilitate inmates.
About the Project
The objective of this project was to develop and implement state-of-the-art computer vision algorithms for recognition of facial expressions. Diving into the field of affective computing, the researchers focused on using deep neural networks on an in-the-wild dataset of facial expressions.
This team of scholars combined their varied areas of expertise to drive an interdisciplinary approach to affective computing. Collectively, the professors hail from psychology, pediatric studies, electrical and computer engineering.
This collaboration between DU, the University of Pittsburgh and the University of Miami broke new ground in social robotics, deep learning and computer vision technologies.
A professor at the Daniel Felix Ritchie School of Engineering and Computer Science, Mohammad Mahoor has contributed to a wide range of research endeavors at the University of Denver and beyond. He specializes in research techniques associated with computer vision, deep learning, and social robotics, and he has partnered with researchers from other institutions and fields of study to advance a better understanding of human facial expression technology and its applications.