sinisa todorovic - College of Engineering - Oregon State University

10. K. Lu, D. Wu, J. Fan, S. Todorovic, and A. Nucci, “Robust and efficient detection of DDoS attacks for largescale
internet,” Computer Networks, vol. 51, no. 18, pp. 5036-5056, 2007 (5-year impact factor: 1.5; 2-year
impact factor: 1.3; h-index: 65)
11. Y. Sun, S. Todorovic, J. Li, “Increasing the robustness of boosting algorithms within the linear programming
framework,” Signal Processing, vol. 48, no. 1-2, pp. 5-20, 2007 (5-year impact factor: 1.7; 2-year impact factor:
1.8; h-5 index: 41)
12. Y. Sun, Z. Liu, S. Todorovic, J. Li, “Adaptive boosting for synthetic aperture radar automatic target recognition,”
IEEE Trans. Aerospace Electronic Systems, vol. 43, issue 1, pp. 112-25, 2007 (5-year impact factor: 1.7; 2-year
impact factor: 1.3; h-index:70)
13. S. Todorovic and M. C. Nechyba, “Interpretation of complex scenes using dynamic tree-structure Bayesian
networks,” Computer Vision Image Understanding, vol. 106, issue 1, pp. 71-84, 2007 (5-year impact factor:
2.2; 2-year impact factor: 1.3; h-5 index: 40)
14. Y. Sun, S. Todorovic, J. Li, “Unifying multi-class AdaBoost algorithms with binary base learners under the
margin framework,” Pattern Recognition Letters, vol. 28, issue 5, pp. 631-43, 2007 (5-year impact factor: 1.5;
2-year impact factor: 1.3; h-index: 77)
15. Y. Sun, S. Todorovic, J. Li, “Reducing the overfitting of AdaBoost by controlling its data distribution skewness,”
Int. J. Pattern Rec. Artificial Intell., vol. 20, no. 7, pp. 1093-116, 2006 (5-year impact factor: 0.7; 2-year impact
factor: 0.6; h-index: 30)
16. S. Todorovic and M. C. Nechyba, “Dynamic trees for unsupervised segmentation and matching of image regions,”
IEEE Trans. Pattern Analysis Machine Intell., vol. 27, no. 11, pp. 1762-77, 2005 (5-year impact factor:
6.2; 2-year impact factor: 4.8; h-index: 184)
17. S. Todorovic and M. C. Nechyba, “A vision system for intelligent mission profiles of Micro Air Vehicles,” in
IEEE Trans. Vehicular Technology, vol. 53, no. 6, pp. 1713–25, 2004, VTS Jack Neubauer Best Paper Award
(5-year impact factor: 2.1; 2-year impact factor: 2.1; h-index: 82)
SELECTED REFEREED CONFERENCE PUBLICATIONS
1. S. Chen, A. Fern, and S. Todorovic, “Multi-object tracking via constrained sequential labeling,” in Proc. IEEE
Computer Vision Pattern Recognition (CVPR), Columbus, OH, 2014 (oral presentation, acceptance rate 104/1807
= 5.75%) (h-5 index: 174)
2. A. Roy and S. Todorovic, “Beam Search for Scene Labeling,” in Proc. IEEE Computer Vision Pattern Recognition
(CVPR), Columbus, OH, 2014 (oral presentation, acceptance rate 104/1807 = 5.75%) (h-5 index: 174)
3. S. Chen, Z. Feng, Q. Lu, B. Mahasseni, T. Fiez, A. Fern, and S. Todorovic, “Play type recognition in real-world
football video,” in Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat
Springs CO, 2014.
4. D. Xie, S. Todorovic, and S. C. Zhu, “Inferring “dark matter” and “dark energy” from videos,” in Proc. IEEE
Int. Conf. Computer Vision (ICCV), Sydney, Australia, 2013, (acceptance rate 413/1629=27.8%) (h-5 index:
101)
5. B. Mahasseni and S. Todorovic, “Latent multitask learning for view-invariant action recognition,” in Proc. IEEE
Int. Conf. Computer Vision (ICCV), Sydney, Australia, 2013, (acceptance rate 413/1629=27.8%) (h-5 index:
101)
6. M. R. Amer, S. Todorovic, A. Fern, and S. C. Zhu, “Monte Carlo tree search for scheduling activity recognition,”
in Proc. IEEE Int. Conf. Computer Vision (ICCV), Sydney, Australia, 2013, (acceptance rate 413/1629=27.8%)
(h-5 index: 101)
7. M. Lam, J. R. Doppa, X. Hu, S. Todorovic, T. G. Dietterich, A. Reft, and M. Daly, “Learning to detect basal
tubules of nematocysts in SEM images,” in Proc. IEEE Int. Conf. Computer Vision Workshop, Sydney, Australia,
2013
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