Iris Einheuser Distinguished Professor
Computer vision, medical imaging, and applied mathematics.
Current Projects: Image recognition (funded by NSF), stereo and image motion analysis (funded by SAIC), medical imaging and computer-assisted diagnosis, and object recognition.
Appointments and Affiliations
- Iris Einheuser Distinguished Professor
- Professor of Computer Science
- Faculty Network Member of the Duke Institute for Brain Sciences
- Office Location: D213 LSRC, Durham, NC 27708
- Office Phone: (919) 660-6539
- Email Address: email@example.com
Manipulation, Robotic sensor networks, Artificial intelligence, and Perception
Awards, Honors, and Distinctions
- Helmholtz Prize. IEEE Computer Society. 2013
- Meineke, EK; Tomasi, C; Yuan, S; Pryer, KM, Applying machine learning to investigate long-term insect-plant interactions preserved on digitized herbarium specimens., Applications in Plant Sciences, vol 8 no. 6 (2020) [10.1002/aps3.11369] [abs].
- Pryer, KM; Tomasi, C; Wang, X; Meineke, EK; Windham, MD, Using computer vision on herbarium specimen images to discriminate among closely related horsetails (Equisetum), Applications in Plant Sciences, vol 8 no. 6 (2020) [abs].
- Carley, C; Ristani, E; Tomasi, C, Person re-identification from gait using an autocorrelation network, Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol 2019-June (2019), pp. 2345-2353 [10.1109/CVPRW.2019.00288] [abs].
- Ristani, E; Tomasi, C, Features for Multi-target Multi-camera Tracking and Re-identification, Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition (2018), pp. 6036-6046 [10.1109/CVPR.2018.00632] [abs].
- Solera, F; Calderara, S; Ristani, E; Tomasi, C; Cucchiara, R, Tracking social groups within and across cameras, Ieee Transactions on Circuits and Systems for Video Technology, vol 27 no. 3 (2017), pp. 441-453 [10.1109/TCSVT.2016.2607378] [abs].