The Visualization Program currently conducts both theoretical and applied research in the fields of computer vision, image/video analysis and understanding, machine learning, biomedical vision, and computational biology.
Our goal is to develop novel principles and methods that can provide compact data representation, robustness, accuracy, and computational efficiency in a wide range of applications that lie in the intersection of computer science with:
- Life Sciences
- Biomedical Engineering
- Marine Sciences
- Cognitive Systems
The team is working towards finding better solutions to existing open problems in the these areas, as well as exploring different scientific fields where our research can provide useful data interpretation, quantification, and modeling.
For inquires about the Visualization Program, please email CCS-Visualization.
MASTHEAD IMAGE SOURCE: MPI Sintel Dataset Object Recognition image used by permission from: @inproceedings Butler: ECCV: 2012 “A naturalistic open source movie for optical flow evaluation”, by Butler, D. J., Wulff, J. , Stanley, G. B., and Black, M. J. European Conf. on Computer Vision, A. Fitzgibbon et al. (Eds.), published by Springer-Verlag, Part IV, LNCS 7577,m Oct 2012, pp. 611-625.