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Carlo Tomasi, Iris Einheuser Professor of Computer Science and Faculty Network Member of Duke Institute for Brain Sciences


Carlo Tomasi

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.

Contact Info:
Office Location:  D213 LSRC, Durham, NC 27708
Office Phone:  (919) 660-6539
Email Address: send me a message
Web Page:


PhD in Computer ScienceCarnegie Mellon University2003
Ph.D.Carnegie Mellon University1991
M.S.University of Massachusetts at Amherst1984


Artificial Intelligence

Research Interests:

Computer vision, medical imaging, and applied mathematics. Current Projects: Image retrieval, image motion analysis, medical imaging and computer-assisted diagnosis, gesture and event recognition.


Algorithms • Artificial Intelligence • Cluster Analysis • Computer Graphics • Image Enhancement • Image Interpretation, Computer-Assisted • Information Storage and Retrieval • Numerical Analysis, Computer-Assisted • Pattern Recognition, Automated • Sample Size • Signal Processing, Computer-Assisted

Recent Publications   (More Publications)

  1. 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 (March, 2017), pp. 441-453 [doi]
  2. Prakalapakorn, SG; Vickers, LA; Estrada, R; Freedman, SF; Tomasi, C; Farsiu, S; Wallace, DK, Using an Image Fusion Methodology to Improve Efficiency and Traceability of Posterior Pole Vessel Analysis by ROPtool., Open Ophthalmology Journal, vol. 11 (January, 2017), pp. 143-151 [doi]  [abs]
  3. Zou, RS; Tomasi, C, Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy., IEEE Transactions on Medical Imaging, vol. 35 no. 7 (July, 2016), pp. 1625-1635 [doi]  [abs]
  4. Ristani, E; Solera, F; Zou, R; Cucchiara, R; Tomasi, C, Performance measures and a data set for multi-target, multi-camera tracking, Lecture notes in computer science, vol. 9914 LNCS (January, 2016), pp. 17-35, ISBN 9783319488806 [doi]  [abs]
  5. Burchfiel, B; Tomasi, C; Parr, R, Distance minimization for reward learning from scored trajectories, 30th AAAI Conference on Artificial Intelligence, AAAI 2016 (January, 2016), pp. 3330-3336, ISBN 9781577357605  [abs]