|Prof. Pavlovic is the director of SEQAM Lab. He earned the Ph.D. in electrical engineering at the University of Illinois at Urbana-Chapaign in 1999. He was a research scientist at Compaq’s Cambridge Research Lab in Cambridge, MA from 1999 until 2001. In 2001 he joined Boston University as a research faculty in the Bioinformatics Program. In 2002 he joined Rutgers as an Assistant Professor in the Department of Computer Science, where he is now an Associate Professor. Prof. Pavlovic’s research interests include statistical learning, dynamic system modeling and computer vision.
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Dept. of Computer Science
110 Frelinghuysen Rd.
Piscataway, NJ 08854
+1 732 445 2001 x2654
vladimir (at) cs.rutgers.edu
J. Kim and V. Pavlovic. "Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks", Journal of Electronic Imaging, Vol. 26, December, 2016, pp. 011018. [More]
J. Kim and V. Pavlovic. "A Shape-based Approach for Salient Object Detection Using Deep Learning". European Conference on Computer Vision (ECCV). 2016. [More]
J. Kim and V. Pavlovic. "Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks". International Conference on Pattern Recognition (ICPR). 2016. [More]
J. Kim and V. Pavlovic. "A Shape Preserving Approach for Salient Object Detection Using Convolutional Neural Networks". International Conference on Pattern Recognition (ICPR). 2016. [More]
S. Yoon, M. Kapadia, P. Sahu and V. Pavlovic. "Filling in the Blanks: Reconstructing Microscopic Crowd Motion from Multiple Disparate Noisy Sensors". 1st Workshop on Computer Vision Applications in Surveillance and Transportation (AVSTI). 2016. [More]