Fatih Porikli

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Medförfattare

Oncel TuzelAppleVerifierad e-postadress på apple.com
Jianbing ShenLead Scientist, Inception Institute of Artificial Intelligence (IIAI); Professor, BITVerifierad e-postadress på bit.edu.cn
Peter MeerRutgers UniversityVerifierad e-postadress på soe.rutgers.edu
Salman KhanInception Institute of AI; Australian National UniversityVerifierad e-postadress på anu.edu.au
Wenguan Wang (王文冠)Postdoctoral Scholar, ETH ZurichVerifierad e-postadress på vision.ee.ethz.ch
Mehrtash HarandiMonash UniversityVerifierad e-postadress på monash.edu
Xin YuPhD, The University of Technology Sydney (UTS)Verifierad e-postadress på uts.edu.au
Ling ShaoCEO & Chief Scientist, Inception Institute of Artificial Intelligence (IIAI); EVP & Provost, MBZUAIVerifierad e-postadress på uea.ac.uk
Benjamin HöferlinUniversität StuttgartVerifierad e-postadress på vis.uni-stuttgart.de
Antoine VacavantInstitut Pascal - UMR CNRS/UCA/SIGMA 6602, Le Puy-en-Velay, FranceVerifierad e-postadress på uca.fr
Georg NebehayPhD Student at AIT Austrian Institute of TechnologyVerifierad e-postadress på ait.ac.at
Roman PflugfelderScientist at Austrian Institute of Technology (AIT), Lecturer at TU WienVerifierad e-postadress på tuwien.ac.at
Ajay J JoshiUniversity of Minnesota, Twin CitiesVerifierad e-postadress på cs.umn.edu
Matej KristanAssociate Professor at Faculty of computer and information science, University of LjubljanaVerifierad e-postadress på fri.uni-lj.si
Jiri MatasProfessor, Czech Technical UniversityVerifierad e-postadress på cmp.felk.cvut.cz
Tomáš VojířCenter for Machine Perception, Czech Technical University in PragueVerifierad e-postadress på cmp.felk.cvut.cz
Janusz KonradProfessor of Electrical and Computer Engineering, Boston UniversityVerifierad e-postadress på bu.edu
Prakash IshwarProfessor of Electrical and Computer Engineering at Boston UniversityVerifierad e-postadress på bu.edu
Pierre-Marc JodoinUniversité de SherbrookeVerifierad e-postadress på usherbrooke.ca
Piotr KoniuszSenior researcher, Data61/CSIRO (former NICTA). Senior honorary lecturer, ANU, CanberraVerifierad e-postadress på data61.csiro.au

Fatih Porikli

Australian National University, Huawei

Verifierad e-postadress på anu.edu.au - Startsida

Computer Vision Image Processing Manifold Learning Dictionary Learning Deep Learning


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Region covariance: A fast descriptor for detection and classification O Tuzel, F Porikli, P Meer European conference on computer vision, 589-600, 2006	1520	2006
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	1105	2015
Integral histogram: A fast way to extract histograms in cartesian spaces F Porikli 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	1003	2005
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	994	2008
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	806	2012
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	776*	2006
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	598	2007
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	568	2014
Understanding transportation modes based on GPS data for web applications Y Zheng, Y Chen, Q Li, X Xie, WY Ma ACM Transactions on the Web (TWEB) 4 (1), 1-36, 2010	471	2010
Constant time O (1) bilateral filtering F Porikli 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	402	2008
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	390	2009
Saliency-aware geodesic video object segmentation W Wang, J Shen, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2015	386	2015
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	372	2016
Going deeper into action recognition: A survey S Herath, M Harandi, F Porikli Image and vision computing 60, 4-21, 2017	365	2017
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	236	2015
Performance evaluation of object detection and tracking systems F Bashir, F Porikli Proceedings 9th IEEE International Workshop on PETS, 7-14, 2006	230	2006
Robust abandoned object detection using dual foregrounds F Porikli, Y Ivanov, T Haga EURASIP Journal on Advances in Signal Processing 2008 (1), 197875, 2007	229	2007
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	222	2017
Inter-camera color calibration by correlation model function F Porikli Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003	214	2003
Less is more: Towards compact cnns H Zhou, JM Alvarez, F Porikli European Conference on Computer Vision, 662-677, 2016	185	2016

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