Παρακολούθηση
Fatih Porikli
Fatih Porikli
Qualcomm, Australian National University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα anu.edu.au - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Image segmentation using deep learning: A survey
S Minaee, Y Boykov, F Porikli, A Plaza, N Kehtarnavaz, D Terzopoulos
IEEE transactions on pattern analysis and machine intelligence 44 (7), 3523-3542, 2021
40822021
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
21882015
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
18542006
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
13062008
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
11072012
Integral histogram: A fast way to extract histograms in cartesian spaces
F Porikli
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
11032005
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
10962014
Saliency-aware geodesic video object segmentation
W Wang, J Shen, F Porikli
Proceedings of the IEEE conference on computer vision and pattern …, 2015
10442015
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
9372009
Underwater scene prior inspired deep underwater image and video enhancement
C Li, S Anwar, F Porikli
Pattern Recognition 98, 107038, 2020
9032020
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
8592006
Going deeper into action recognition: A survey
S Herath, M Harandi, F Porikli
Image and vision computing 60, 4-21, 2017
8242017
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
7492016
Support vector machines: Theory and applications
T Evgeniou, M Pontil
Advanced course on artificial intelligence, 249-257, 1999
7461999
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
6762007
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
5842019
LightenNet: A convolutional neural network for weakly illuminated image enhancement
C Li, J Guo, F Porikli, Y Pang
Pattern recognition letters 104, 15-22, 2018
4782018
Constant time O (1) bilateral filtering
F Porikli
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
4752008
Less is more: Towards compact cnns
H Zhou, JM Alvarez, F Porikli
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
4092016
Ultra-resolving face images by discriminative generative networks
X Yu, F Porikli
European conference on computer vision, 318-333, 2016
3432016
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