Fatih Porikli

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Oncel TuzelAppleDirección de correo verificada de apple.com
Jianbing ShenProfessor, University of MacauDirección de correo verificada de um.edu.mo
Salman KhanMBZUAI, Australian National UniversityDirección de correo verificada de anu.edu.au
Peter MeerRutgers UniversityDirección de correo verificada de soe.rutgers.edu
Ling Shao, Fellow of IEEE/IAPRAI EnthusiastDirección de correo verificada de inceptioniai.org
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityDirección de correo verificada de monash.edu
Xin YuThe University of QueenslandDirección de correo verificada de uq.edu.au
Georg NebehayFormer PhD Student at AIT Austrian Institute of TechnologyDirección de correo verificada de ait.ac.at
Saeed AnwarAustralian National University; CSIRO; University of Technology Sydney; University of CanberraDirección de correo verificada de anu.edu.au
Roman PflugfelderMarie Curie Fellow at TUM/TechnionDirección de correo verificada de tum.de
Matej KristanFull Professor at Faculty of computer and information science, University of LjubljanaDirección de correo verificada de fri.uni-lj.si
Jiri MatasProfessor, Czech Technical UniversityDirección de correo verificada de cmp.felk.cvut.cz
Ales LeonardisProfessor of Computer ScienceDirección de correo verificada de cs.bham.ac.uk
Tomáš VojířCenter for Machine Perception, Czech Technical University in PragueDirección de correo verificada de cmp.felk.cvut.cz
Ajay J JoshiUniversity of Minnesota, Twin CitiesDirección de correo verificada de cs.umn.edu
Muzammal NaseerMBZUAI, Australian National UniversityDirección de correo verificada de mbzuai.ac.ae
Shubhankar BorseQualcomm AI ResearchDirección de correo verificada de qti.qualcomm.com
Janusz KonradProfessor of Electrical and Computer Engineering, Boston UniversityDirección de correo verificada de bu.edu
Prakash IshwarProfessor of Electrical and Computer Engineering at Boston UniversityDirección de correo verificada de bu.edu
Pierre-Marc JodoinUniversité de SherbrookeDirección de correo verificada de usherbrooke.ca

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Fatih Porikli

Qualcomm, Australian National University

Dirección de correo verificada de anu.edu.au - Página principal

Computer Vision Image Processing Manifold Learning Dictionary Learning Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2028	2015
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	1787	2006
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	1720	2021
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	1215	2008
Integral histogram: A fast way to extract histograms in cartesian spaces F Porikli 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	1094	2005
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	1026	2012
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	928	2014
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	857*	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	703	2009
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	663	2007
Going deeper into action recognition: A survey S Herath, M Harandi, F Porikli Image and vision computing 60, 4-21, 2017	662	2017
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	619	2016
Saliency-aware geodesic video object segmentation W Wang, J Shen, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2015	564	2015
Constant time O (1) bilateral filtering F Porikli 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	453	2008
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	428	2017
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	412	2019
Underwater scene prior inspired deep underwater image and video enhancement C Li, S Anwar, F Porikli Pattern Recognition 98, 107038, 2020	390	2020
Less is more: Towards compact cnns H Zhou, JM Alvarez, F Porikli Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	348	2016
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	313	2015
Ultra-resolving face images by discriminative generative networks X Yu, F Porikli Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	300	2016

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