Fatih Porikli

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Oncel TuzelAppleVerified email at apple.com
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
Peter MeerRutgers UniversityVerified email at soe.rutgers.edu
Jianbing ShenProfessor, University of MacauVerified email at um.edu.mo
Ling Shao, Fellow of IEEE/IAPRGeneral Terminus Technologies; Founder/Initiator of IIAI/MBZUAIVerified email at inceptioniai.org
Shubhankar BorseQualcomm AI ResearchVerified email at qti.qualcomm.com
Hong (Herbert) CaiQualcomm AI ResearchVerified email at qti.qualcomm.com
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Xin YuThe University of QueenslandVerified email at uq.edu.au
Saeed AnwarAustralian National University; University of CanberraVerified email at anu.edu.au
Roman PflugfelderMarie Curie Fellow at TUM/TechnionVerified email at tum.de
Georg NebehayFormer PhD Student at AIT Austrian Institute of TechnologyVerified email at ait.ac.at
Matej KristanFull 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
Ales LeonardisProfessor of Computer ScienceVerified email at cs.bham.ac.uk
Muzammal NaseerAsst. Professor, Khalifa UniversityVerified email at ku.ac.ae
Tomáš VojířCenter for Machine Perception, Czech Technical University in PragueVerified email at cmp.felk.cvut.cz
Ajay J JoshiUniversity of Minnesota, Twin CitiesVerified email at cs.umn.edu
Luka Čehovin ZajcAssistant Professor at the Faculty of Computer and Information Science, University of LjubljanaVerified email at fri.uni-lj.si
Debasmit DasAI Researcher, Qualcomm | AE, IEEE TCSS & Wiley AAILVerified email at qti.qualcomm.com

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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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	3609	2021
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	2143	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	1842	2006
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	1290	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	1100	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	1096	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	1064	2014
Saliency-aware geodesic video object segmentation W Wang, J Shen, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2015	1018	2015
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	902	2009
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	856	2006
Going deeper into action recognition: A survey S Herath, M Harandi, F Porikli Image and vision computing 60, 4-21, 2017	800	2017
Underwater scene prior inspired deep underwater image and video enhancement C Li, S Anwar, F Porikli Pattern Recognition 98, 107038, 2020	780	2020
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	718	2016
Support vector machines: Theory and applications T Evgeniou, M Pontil Advanced course on artificial intelligence, 249-257, 1999	698	1999
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	673	2007
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	562	2019
Constant time O (1) bilateral filtering F Porikli 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	470	2008
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	449	2018
Less is more: Towards compact cnns H Zhou, JM Alvarez, F Porikli Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	403	2016
Ultra-resolving face images by discriminative generative networks X Yu, F Porikli European conference on computer vision, 318-333, 2016	334	2016

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