Fatih Porikli

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Oncel TuzelAppleVerified email at apple.com
Jianbing ShenLead Scientist, Inception Institute of Artificial Intelligence (IIAI); Professor, BITVerified email at bit.edu.cn
Peter MeerRutgers UniversityVerified email at soe.rutgers.edu
Wenguan Wang (王文冠)Postdoctoral Scholar, ETH ZurichVerified email at vision.ee.ethz.ch
Salman H. KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
Xin YuPhD, The University of Technology Sydney (UTS)Verified email at uts.edu.au
Mehrtash HarandiMonash UniversityVerified email at monash.edu
Ling Shao, Fellow of IEEE/IAPRCEO & Chief Scientist, Inception Institute of Artificial Intelligence (IIAI)Verified email at inceptioniai.org
Georg NebehayPhD Student at AIT Austrian Institute of TechnologyVerified email at ait.ac.at
Roman PflugfelderScientist at Austrian Institute of Technology (AIT), Lecturer at TU WienVerified email at tuwien.ac.at
Matej KristanAssociate Professor at Faculty of computer and information science, University of LjubljanaVerified email at fri.uni-lj.si
Jiri MatasProfessor, Czech Technical UniversityVerified email at cmp.felk.cvut.cz
Tomáš VojířCenter for Machine Perception, Czech Technical University in PragueVerified email at cmp.felk.cvut.cz
Saeed AnwarCSIRO; Australian National University; University of Technology SydneyVerified email at anu.edu.au
Ajay J JoshiUniversity of Minnesota, Twin CitiesVerified email at cs.umn.edu
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk
Luka Čehovin ZajcAssistant Professor at the Faculty of Computer and Information Science, University of LjubljanaVerified email at fri.uni-lj.si
Piotr KoniuszSenior researcher, Data61/CSIRO (former NICTA). Senior honorary lecturer, ANU, CanberraVerified email at data61.csiro.au
Janusz KonradProfessor of Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Prakash IshwarProfessor of Electrical and Computer Engineering at Boston UniversityVerified email at bu.edu

Fatih Porikli

Qualcomm, Australian National University

Verified email at anu.edu.au - Homepage

Computer Vision Image Processing Manifold Learning Dictionary Learning Deep Learning


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Region covariance: A fast descriptor for detection and classification O Tuzel, F Porikli, P Meer European conference on computer vision, 589-600, 2006	1630	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	1284	2015
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	1078	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	1059	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	882	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	818*	2006
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	674	2014
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	634	2007
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	512	2010
Going deeper into action recognition: A survey S Herath, M Harandi, F Porikli Image and vision computing 60, 4-21, 2017	488	2017
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	463	2009
Saliency-aware geodesic video object segmentation W Wang, J Shen, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2015	461	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	460	2016
Constant time O (1) bilateral filtering F Porikli 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	422	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	286	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	261	2015
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	247	2021
Less is more: Towards compact cnns H Zhou, JM Alvarez, F Porikli European Conference on Computer Vision, 662-677, 2016	245	2016
Robust abandoned object detection using dual foregrounds F Porikli, Y Ivanov, T Haga EURASIP Journal on Advances in Signal Processing 2008, 1-11, 2007	243	2007
Performance evaluation of object detection and tracking systems F Bashir, F Porikli Proceedings 9th IEEE International Workshop on PETS, 7-14, 2006	238	2006

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