Oregon State University

Sinisa Todorovic

Assistant Professor
Computer Science
Education: 
  • Ph.D. in electrical and computer engineering, University of Florida, 2005
    Dissertation: “Irregular-Structure Tree Models for Image Interpretation”
     
  • M.S. in electrical and computer engineering, University of Florida, 2002
    Thesis: “Statistical Modeling and Segmentation of Sky/Ground Images”
     
  • B.S./M.S. in electrical engineering, University of Belgrade, Serbia, 1994
Biography: 

Sinisa Todorovic obtained his MS and PhD degrees in electrical and computer engineering from the University of Florida. He earned his BS/MS in electrical engineering from the University of Belgrade in Serbia.

Before coming to Oregon State University, Todorovic was a Postdoc in the Beckman Institute at University of Illinois at Urbana-Champaign where he worked on multiscale image segmentation, structural pattern recognition, object / scene recognition and texture classification and synthesis. He was also a software engineer at Siemens from 1998-2001.

Research Interests: 

Computer vision, machine learning, and artificial intelligence — specifically, recognition and modeling of objects, human activities, and texture occurring in images and video

Publications

2011
Brendel, W., M. Amer, and S. Todorovic, "Multiobject tracking as maximum weight independent set", 2011 IEEE Conference on Computer Vision and Pattern Recognition CVPR 2011, Colorado Springs, CO, IEEE, pp. 1273 - 1280, 06/2011. Abstract
Brendel, W., A. Fern, and S. Todorovic, "Probabilistic event logic for interval-based event recognition", 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, IEEE, pp. 3329 - 3336, 06/2011. Abstract
Payet, N., and S. Todorovic, "Scene shape from texture of objects", 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, IEEE, pp. 2017 - 2024, 06/2011. Abstract
Kagaya, M., W. Brendel, Q. Deng, T. Kesterson, S. Todorovic, P. J. Neill, and E. Zhang, "Video Painting with Space-Time-Varying Style Parameters", IEEE Transactions on Visualization and Computer Graphics, vol. 17, issue 1, pp. 74 - 87, 01/2011. Abstract
2010
Brendel, W., and S. Todorovic, "Segmentation as Maximum-Weight Independent Set", Twenty-Fourth Annual Conference on Neural Information Processing Systems , Vancouver, B.C., Canada, pp. 307–315, 12/2010.
Brendel, W., and S. Todorovic, "Activities as time series of human postures", Proceedings of the 11th European conference on Computer vision: Part II, Hersonissos, Greece, Springer-Verlag, pp. 721–734, 09/2010. Abstract
Sun, Y., S. Todorovic, and S. Goodison, "Local-Learning-Based Feature Selection for High-Dimensional Data Analysis", IEEE Trans. Pattern Analysis Machine Intell, vol. 32, issue 9, pp. 1610-1626, 09/2010. Abstract
Schlake, B. W., S. Todorovic, R. J. Edwards, J. M. Hart, N. Ahuja, and C. P. L. Barkan, "Machine vision condition monitoring of heavy-axle load railcar structural underframe components", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, vol. 224, issue 5, pp. 499 - 511, 09/2010. Abstract
Payet, N., and S. Todorovic, "From a Set of Shapes to Object Discovery", 11th European Conference on Computer Vision (ECCV), Hersonissos, Greece, 05/2010.
Payet, N., and S. Todorovic, "(RF)^2 – Random Forest Random Field", Advances in Neural Information Processing Systems 23, pp. 1885–1893, 2010. Abstract
2009
Todorovic, S., and N. Ahuja, "Texel-based texture segmentation", 2009 IEEE 12th International Conference on Computer Vision (ICCV), Kyoto, IEEE, pp. 841 - 848, 09/2009. Abstract
Brendel, W., and S. Todorovic, "Video object segmentation by tracking regions", 2009 IEEE 12th International Conference on Computer Vision (ICCV), Kyoto, IEEE, pp. 833 - 840, 09/2009. Abstract
Martinez-Munoz, G., N. Larios, E. N. Mortensen, W. Zhang, A. Yamamuro, R. Paasch, N. Payet, D. A. Lytle, L. G. Shapiro, S. Todorovic, et al., "Dictionary-free categorization of very similar objects via stacked evidence trees", 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), Miami, FL, IEEE, pp. 549 - 556, 06/2009. Abstract
Payet, N., and S. Todorovic, "Matching Hierarchies of Deformable Shapes", Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, vol. 5534, Venice, Italy, Springer Berlin Heidelberg, pp. 1 - 10, 05/2009. Abstract
2008
Todorovic, S., and N. Ahuja, "Scale-invariant region-based hierarchical imagematching", 2008 19th International Conference on Pattern Recognition (ICPR), Tampa, FL, IEEE, pp. 1 - 5, 12/2008. Abstract
Todorovic, S., and N. Ahuja, "Unsupervised Category Modeling, Recognition and Segmentation in Images", IEEE Trans. Pattern Analysis Machine Intell, vol. 30, issue 12, pp. 2158-2174, 12/2008. Abstract
Todorovic, S., and N. Ahuja, "Unsupervised Category Modeling, Recognition, and Segmentation in Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, issue 12, pp. 2158 - 2174, 12/2008. Abstract
Ahuja, N., and S. Todorovic, "Connected Segmentation Tree — A joint representation of region layout and hierarchy", 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, IEEE, pp. 1 - 8, 06/2008. Abstract
Todorovic, S., and N. Ahuja, "Learning Subcategory Relevances for Category Recognition", IEEE Computer Vision Pattern Recognition (CVPR), Anchorage, AK, 06/2008. Abstract
Sun, Y., S. Todorovic, and S. Goodison, "A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality", SIAM Int. Conf. Data Mining (SDM 2008), Atlanta, GA, pp. 530-540, 04/2008.
Todorovic, S., and N. Ahuja, "Region-Based Hierarchical Image Matching", International Journal of Computer Vision, vol. 78, issue 1: Springer Netherlands, pp. 47-66, 2008. Abstract
2007
Lu, K., D. Wu, J. Fan, S. Todorovic, and A. Nucci, "Robust and efficient detection of DDoS attacks for large-scale internet", Computer Networks, vol. 51, issue 18, pp. 5036 - 5056, 12/2007. Abstract

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