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Fatih Porikli
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The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
19822015
Region covariance: A fast descriptor for detection and classification
O Tuzel, F Porikli, P Meer
Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006
17582006
Image segmentation using deep learning: A survey
S Minaee, YY Boykov, F Porikli, AJ Plaza, N Kehtarnavaz, D Terzopoulos
IEEE transactions on pattern analysis and machine intelligence, 2021
14012021
Pedestrian detection via classification on riemannian manifolds
O Tuzel, F Porikli, P Meer
IEEE transactions on pattern analysis and machine intelligence 30 (10), 1713 …, 2008
11942008
Integral histogram: A fast way to extract histograms in cartesian spaces
F Porikli
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
10892005
Changedetection. net: A new change detection benchmark dataset
N Goyette, PM Jodoin, F Porikli, J Konrad, P Ishwar
2012 IEEE computer society conference on computer vision and pattern …, 2012
10012012
CDnet 2014: An expanded change detection benchmark dataset
Y Wang, PM Jodoin, F Porikli, J Konrad, Y Benezeth, P Ishwar
Proceedings of the IEEE conference on computer vision and pattern …, 2014
8842014
Covariance tracking using model update based on lie algebra
F Porikli, O Tuzel, P Meer
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
851*2006
Multi-class active learning for image classification
AJ Joshi, F Porikli, N Papanikolopoulos
2009 ieee conference on computer vision and pattern recognition, 2372-2379, 2009
6602009
Human detection via classification on riemannian manifolds
O Tuzel, F Porikli, P Meer
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
6592007
Going deeper into action recognition: A survey
S Herath, M Harandi, F Porikli
Image and vision computing 60, 4-21, 2017
6292017
A novel performance evaluation methodology for single-target trackers
M Kristan, J Matas, A Leonardis, T Vojíř, R Pflugfelder, G Fernandez, ...
IEEE transactions on pattern analysis and machine intelligence 38 (11), 2137 …, 2016
5892016
Saliency-aware geodesic video object segmentation
W Wang, J Shen, F Porikli
Proceedings of the IEEE conference on computer vision and pattern …, 2015
5482015
Constant time O (1) bilateral filtering
F Porikli
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
4502008
Saliency-aware video object segmentation
W Wang, J Shen, R Yang, F Porikli
IEEE transactions on pattern analysis and machine intelligence 40 (1), 20-33, 2017
4032017
See more, know more: Unsupervised video object segmentation with co-attention siamese networks
X Lu, W Wang, C Ma, J Shen, L Shao, F Porikli
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3732019
Less is more: Towards compact cnns
H Zhou, JM Alvarez, F Porikli
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
3262016
Underwater scene prior inspired deep underwater image and video enhancement
C Li, S Anwar, F Porikli
Pattern Recognition 98, 107038, 2020
3202020
Deeptrack: Learning discriminative feature representations online for robust visual tracking
H Li, Y Li, F Porikli
IEEE Transactions on Image Processing 25 (4), 1834-1848, 2015
3082015
Ultra-resolving face images by discriminative generative networks
X Yu, F Porikli
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
2882016
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