Publications
Journal
papers
·
Yang,
L.; Tuzel, O.; Meer, P.; Chen, W.; Salaru, G.; Goodell, L. and Foran, D.J., “PathMiner:
A web-based telemicroscopy, intelligent archiving and image analysis system”,
IEEE Transaction on Information Technology in Biomedicine. Vol. 13,
No. 3, pp. 291-299, 2009. ·
Tuzel, O.;
Porikli F. and Meer, P., “Pedestrian
detection via classification on Riemannian manifolds”, IEEE Trans.
Pattern Anal. Machine Intelligence, Vol. 30, pp. 1713-1727, 2008. ·
Tuzel, O.; Yang, L.; Meer, P. and Foran, D.J., “Classification of hematologic
malignancies using texton signatures”, Pattern Analysis and Applications,
Vol. 10, pp. 277-290, 2007 · Ozer, O.F.; Ozun, O.; Tuzel, C.O.; Atalay, V and Cetin, A.E., “Vision-based single-stroke character recognition for wearable computing”, IEEE Intelligent Systems, Vol.16 Issue 3 pp. 33-37, May-June 2001. Selected conference proceedings (with acceptance
rate lower than 25%)
· Tuzel, O.; Porikli F. and Meer P., “Kernel methods for weakly supervised mean shift clustering”, To appear in Proc. 12th IEEE Intl. Conf. on Computer Vision, Kyoto, Japan, September 2009.* ·
Yang,
L.; Tuzel, O.; Meer, P. and Foran, D.J., “Automatic Image Analysis of
Histopathology Specimens Using Concave Vertex Graph”, in Proc.
International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), ·
Tuzel, O.;
Porikli F. and Meer P., “Learning on Lie
groups for invariant detection and tracking”, in Proc. IEEE
Conf. on Computer Vision and Pattern Recognition, Anchorage, Alaska,
2008. ·
Tuzel O.; Porikli F. and
Meer P., “Human detection via classification on Riemannian
manifolds”, in Proc. IEEE Conf. on Computer Vision and Pattern
Recognition, Minneapolis, MN, 2007, Best Paper Prize
Runner-up.* · Porikli, F.; Tuzel, O., “Covariance tracker”, in Video Proc. IEEE Conf. on Computer Vision and Pattern Recognition, New York, NY, June 2006. · Porikli F.; Tuzel O. and Meer P., “Covariance tracking using model update based on Lie algebra”, in Proc. IEEE Conf. on Computer Vision and Pattern Recognition, New York, NY, Vol. 1, pp. 728-735, June 2006. ·
Tuzel O.; Porikli F. and
Meer P., “Region covariance: A fast descriptor for detection and classification”,
in Proc. 9th European Conf. on Computer
Vision, Graz, Austria, Vol. 2, 2006, pp. 589–600. · Tuzel O.; Subbarao, R.; Meer, P., “Simultaneous multiple 3D motion estimation via mode finding on Lie groups”, in Proc. 10th IEEE Intl. Conf. on Computer Vision, Beijing, China, Vol.1 pp. 18–25, October 2005.* Other peer reviewed conferences and workshops
·
Foran, D.J; Yang,
L.; Tuzel,
O.; Chen, W.; Hu, J.; Kurc,
T.; Ferreira, R.; Saltz, J., “A caGrid-enabled, learning based image segmentation method for
histopathology specimens”, in Proc. IEEE International Symposium on
Biomedical Imaging (ISBI), ·
Porikli, F.; Tuzel, O., “Fast construction of
covariance matrices for arbitrary size image windows”, in Proc. IEEE International Conference on Image Processing,
pp.1581-1584, October 2006. · Porikli, F.; Tuzel, O., “Bayesian background modeling for foreground detection”, in Proc. of the third ACM international workshop on Video surveillance & sensor networks, Singapore, pp. 55–58, November 2005. · Porikli, F.; Tuzel, O., “Multi-kernel object tracking”, in Proc. IEEE Int. Conf. on Multimedia and Expo, Amsterdam, Netherlands, pp. 1234-1237, July 2005. · Tuzel, O.; Porikli, F., Meer, P., “A Bayesian approach to background modeling”, IEEE Int. Workshop on Machine Vision for Intelligent Vehicles , San Diego, CA, June 2005 (in conjunction with CVPR'05). · Porikli, F.; Tuzel, O., “Object tracking in low-frame-rate video”, SPIE Image and Video Communications and Processing, Vol. 5685, pp. 72-79, March 2005. · Porikli, F.; Tuzel, O. “Human body tracking by adaptive background models and mean-shift analysis”, IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance, March 2003. |