Scott T. Acton
Lawrence R. Quarles Professor and Chair, Electrical and Computer Engineering
Professor, Biomedical Engineering (By Courtesy)
About
Professor Acton’s laboratory at UVA is called VIVA - Virginia Image and Video Analysis. They specialize in biological image analysis problems. The research emphases of VIVA include machine learning for image and video analysis, AI for education, tracking, segmentation, and enhancement. Professor Acton has over 325 publications in the image and video analysis area. His recent professional service includes Editor-in-Chief of the IEEE Transactions on Image Processing and General Co-Chair of the IEEE International Symposisum on Biomedical Imaging.
Education
B.S. Electrical Engineering, Virginia Tech, 1988
M.S. Electrical Engineering, The University of Texas at Austin, 1990
Ph.D. Electrical Engineering, The University of Texas at Austin, 1993
Research Interests
Signal and Image Processing
Machine Learning
Bioimage Analysis
Selected Publications
Functional aspects of meningeal lymphatics in ageing and Alzheimer’s disease. Nature, vol. 560, pp. 185-191, 2018.
SANDRO DA MESQUITA, ANTOINE LOUVEAU, ANDREA VACCARI, ..., SCOTT T. ACTON, JONATHAN KIPNIS
ABS
M. Korban, P. Youngs and S.T. Acton, “TAA-GCN: A temporally aware adaptive graph convolutional network for age estimation,” Pattern Recognition, 109066, 2023.
M. KORBAN, P. YOUNGS, SCOTT T. ACTON
ABS
Farewell editiorial. IEEE Transactions on Image Processing,” vol. 27, pp. 8-9, 2018.
SCOTT T. ACTON
ABS
Speckle reducing anisotropic diffusion. IEEE Transactions on Image Processing, vol. 11, 1260-1270, 2002
YONGJIAN YU, SCOTT T. ACTON
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A Multi-Modal Transformer network for action detection, Pattern Recognition, vol. 142, 109713, 2023.
M. KORBAN, P. YOUNGS, SCOTT T. ACTON
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Courses Taught
How the iPhone Works
Spring 2018
Digital Image Processing
Fall 2018
Signals and Systems
Fall 2023
Awards
IEEE Fellow
2013
Faculty Innovation Award
2017
All-University Teaching Award
2009
Outstanding Young Electrical Engineer
1996
Director’s Award for Superior Accomplishment, National Science Foundation
2021