Ching-Chung Li
Ching-Chung Li was a University of Pittsburgh professor whose research addressed biomedical pattern recognition and multiresolution image processing. He joined Pitt in 1959, became a professor by 1967, and held professorships in electrical engineering and computer science; he earned a Ph.D. from Northwestern University. His work includes a 1998 wavelet motion model for dense optical flow and curvelet-based classifications of prostate histology images in 2016 and 2017. IAPR named him a Fellow in 2006 for contributions to biomedical pattern recognition and multiresolution image processing. Li retired from Pitt in August 2017 after a 58-year career and died in 2022 at age 90.
Timeline
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1959–2003
Pitt's engineering professorships
He joins Pitt as an assistant professor in September 1959 and becomes a professor by 1967. By 2003, he holds professorships in electrical engineering and computer science there and has a Ph.D. in electrical engineering from Northwestern University.
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1998
Wavelet optical flow
He coauthors a wavelet motion model for estimating dense optical flow from image sequences in 1998.
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2006
An IAPR Fellowship
IAPR names him a Fellow in 2006 for contributions to biomedical pattern recognition and multiresolution image processing.
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2016
Curvelet-based prostate imaging
He coauthors a method that uses curvelet-based texture descriptors to classify four critical Gleason patterns in prostate histology images in 2016.
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2017
A follow-up classifier
He coauthors a 2017 follow-up that applies a multiresolution curvelet transform to computer-aided classification of four critical Gleason patterns.
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2017–2022
Retirement and death
He retires from Pitt in August 2017 after 58 years in the Electrical and Computer Engineering department and dies in 2022 at age 90.
Career
- 1959–2017University of PittsburghAssistant Professor, Professor of electrical engineering and computer science
Education
Most-cited works
- Detection, tracking, and classification of action units in facial expressionWith Jeffrey F. Cohn and Takeo Kanade
- Automated facial expression recognition based on FACS action unitsWith Jeffrey F. Cohn and Takeo Kanade
- Automatic recognition of facial expressions using hidden markov models and estimation of expression intensity
- Image Registration Using Wavelet-Based Motion ModelWith Jeffrey F. Cohn and Takeo Kanade
- Subtly different facial expression recognition and expression intensity estimationWith Jeffrey F. Cohn and Takeo Kanade
Sources and credits
Photo: We have no published photo of Ching-Chung Li yet. Send us a free-licensed photo.
- Li had 58-year ‘impactful’ career at Swanson School
- University of Pittsburgh
- Optical flow estimation using wavelet motion model
- IAPR - IAPR Fellows
- Curvelet-based texture classification of critical Gleason patterns of prostate histological images
- Advance on curvelet application to prostate cancer tissue image classification

