Carlo Tomasi
Iris Einheuser Distinguished Professor
Overview
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.
Solera, F., et al. “Tracking social groups within and across cameras.” Ieee Transactions on Circuits and Systems for Video Technology, vol. 27, no. 3, Mar. 2017, pp. 441–53. Scopus, doi:10.1109/TCSVT.2016.2607378. Full Text
Prakalapakorn, Sasapin G., et al. “Using an Image Fusion Methodology to Improve Efficiency and Traceability of Posterior Pole Vessel Analysis by ROPtool.” Open Ophthalmol J, vol. 11, 2017, pp. 143–51. Pubmed, doi:10.2174/1874364101711010143. Full Text
Zou, Roger S., and Carlo Tomasi. “Deformable Graph Model for Tracking Epithelial Cell Sheets in Fluorescence Microscopy.” Ieee Transactions on Medical Imaging, vol. 35, no. 7, July 2016, pp. 1625–35. Epmc, doi:10.1109/tmi.2016.2521653. Full Text
Estrada, Rolando, et al. “Retinal Artery-Vein Classification via Topology Estimation.” Ieee Trans Med Imaging, vol. 34, no. 12, Dec. 2015, pp. 2518–34. Pubmed, doi:10.1109/TMI.2015.2443117. Full Text
Estrada, Rolando, et al. “Tree Topology Estimation.” Ieee Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 8, Aug. 2015, pp. 1688–701. Epmc, doi:10.1109/tpami.2014.2382116. Full Text
Hendargo, Hansford C., et al. “Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography.” Biomedical Optics Express, vol. 4, no. 6, June 2013, pp. 803–21. Epmc, doi:10.1364/boe.4.000803. Full Text
Salas, J., and C. Tomasi. “A linear system form solution to compute the local space average color.” Machine Vision and Applications, vol. 24, no. 7, Mar. 2013, pp. 1555–60. Scopus, doi:10.1007/s00138-013-0494-0. Full Text
Ricco, S., and C. Tomasi. “Video motion for every visible point.” Proceedings of the Ieee International Conference on Computer Vision, Jan. 2013, pp. 2464–71. Scopus, doi:10.1109/ICCV.2013.306. Full Text
Zheng, Y., et al. “Fast tiered labeling with topological priors.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7575 LNCS, no. PART 4, Oct. 2012, pp. 587–601. Scopus, doi:10.1007/978-3-642-33765-9_42. Full Text
Ricco, S., and C. Tomasi. “Simultaneous compaction and factorization of sparse image motion matrices.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7577 LNCS, no. PART 6, Oct. 2012, pp. 456–69. Scopus, doi:10.1007/978-3-642-33783-3_33. Full Text
Pages
Carley, C., et al. “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. 2345–53. Scopus, doi:10.1109/CVPRW.2019.00288. Full Text
Ristani, E., and C. Tomasi. “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. 6036–46. Scopus, doi:10.1109/CVPR.2018.00632. Full Text
Ristani, E., et al. “Performance measures and a data set for multi-target, multi-camera tracking.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9914 LNCS, 2016, pp. 17–35. Scopus, doi:10.1007/978-3-319-48881-3_2. Full Text
Burchfiel, B., et al. “Distance minimization for reward learning from scored trajectories.” 30th Aaai Conference on Artificial Intelligence, Aaai 2016, 2016, pp. 3330–36.
Carley, C., and C. Tomasi. “Single-Frame Indexing for 3D Hand Pose Estimation.” Proceedings of the Ieee International Conference on Computer Vision, vol. 2015-February, 2015, pp. 493–501. Scopus, doi:10.1109/ICCVW.2015.71. Full Text
Ristani, E., and C. Tomasi. “Tracking multiple people online and in real time.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9007, 2015, pp. 444–59. Scopus, doi:10.1007/978-3-319-16814-2_29. Full Text
Jiang, Tingting, et al. “How to dispatch observers to track an evolving boundary.” 2007 First Acm/Ieee International Conference on Distributed Smart Cameras, IEEE, 2007, pp. 295-+.
Venkatesan, P., et al. “Center-based approach for computerized analysis of non-uniform growth patterns in melanocytic lesions.” Journal of Investigative Dermatology, vol. 122, no. 3, BLACKWELL PUBLISHING INC, 2004, pp. A158–A158.
Gokturk, S. B., et al. “A learning method for automated polyp detection.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2208, 2001, pp. 85–93. Scopus, doi:10.1007/3-540-45468-3_11. Full Text
Acar, B., et al. “Using optical flow fields for Polyp detection in virtual colonoscopy.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2208, 2001, pp. 637–44. Scopus, doi:10.1007/3-540-45468-3_77. Full Text