Mircea Nicolescu, Ph.D.
Affiliations: | 2003 | University of Southern California, Los Angeles, CA, United States |
Area:
Computer ScienceGoogle:
"Mircea Nicolescu"Parents
Sign in to add mentor| Gerard G. Medioni | grad student | 2003 | USC | |
| (A voting-based computational framwork for visual motion analysis and interpretation.) | ||||
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Publications
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| Hoseini P, Blankenburg J, Nicolescu M, et al. (2019) Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance Computers. 8: 71 |
| Rekabdar B, Fraser L, Nicolescu M, et al. (2018) A real-time spike-timing classifier of spatio-temporal patterns Neurocomputing. 311: 183-196 |
| Ambardekar A, Nicolescu M, Bebis G. (2014) Vehicle classification framework: a comparative study Eurasip Journal On Image and Video Processing. 2014 |
| Ambardekar A, Nicolescu M, Bebis G. (2013) Visual traffic surveillance framework: Classification to event detection Journal of Electronic Imaging. 22 |
| Amayeh G, Bebis G, Erol A, et al. (2009) Hand-based verification and identification using palm-finger segmentation and fusion Computer Vision and Image Understanding. 113: 477-501 |
| Loss L, Bebis G, Nicolescu M, et al. (2009) An iterative multi-scale tensor voting scheme for perceptual grouping of natural shapes in cluttered backgrounds Computer Vision and Image Understanding. 113: 126-149 |
| Kelley R, King C, Tavakkoli A, et al. (2008) An architecture for understanding intent using a novel Hidden Markov formulation International Journal of Humanoid Robotics. 5: 203-224 |
| Tavakkoli A, Nicolescu M, Bebis G. (2008) A support vector data description approach for background modeling in videos with quasi-stationary backgrounds International Journal On Artificial Intelligence Tools. 17: 635-658 |
| Amayeh G, Bebis G, Erol A, et al. (2007) A new approach to hand-based authentication Proceedings of Spie - the International Society For Optical Engineering. 6539 |
| Erol A, Bebis G, Nicolescu M, et al. (2007) Vision-based hand pose estimation: A review Computer Vision and Image Understanding. 108: 52-73 |