Fatih Porikli

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Oncel TuzelAppleVerified email at apple.com
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
Shubhankar BorseQualcomm AI ResearchVerified email at qti.qualcomm.com
Jianbing ShenProfessor, University of MacauVerified email at um.edu.mo
Hong (Herbert) CaiQualcomm AI ResearchVerified email at qti.qualcomm.com
Peter MeerRutgers UniversityVerified email at soe.rutgers.edu
Ling Shao, Fellow of IEEE/IAPRGeneral Terminus Technologies; Founder/Initiator of IIAI/MBZUAIVerified email at inceptioniai.org
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Saeed AnwarAustralian National UniversityVerified email at anu.edu.au
Xin YuThe University of QueenslandVerified email at uq.edu.au
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
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
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
Debasmit DasAI Researcher, QualcommVerified email at qti.qualcomm.com
Ajay J JoshiUniversity of Minnesota, Twin CitiesVerified email at cs.umn.edu
Munawar HayatQualcommVerified 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	4072	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	2189	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	1854	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	1305	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	1107	2012
Integral histogram: A fast way to extract histograms in cartesian spaces F Porikli 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	1103	2005
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	1095	2014
Saliency-aware geodesic video object segmentation W Wang, J Shen, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2015	1044	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	937	2009
Underwater scene prior inspired deep underwater image and video enhancement C Li, S Anwar, F Porikli Pattern Recognition 98, 107038, 2020	902	2020
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	859	2006
Going deeper into action recognition: A survey S Herath, M Harandi, F Porikli Image and vision computing 60, 4-21, 2017	824	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	749	2016
Support vector machines: Theory and applications T Evgeniou, M Pontil Advanced course on artificial intelligence, 249-257, 1999	746	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	676	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	584	2019
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	478	2018
Constant time O (1) bilateral filtering F Porikli 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	475	2008
Less is more: Towards compact cnns H Zhou, JM Alvarez, F Porikli Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	409	2016
Ultra-resolving face images by discriminative generative networks X Yu, F Porikli European conference on computer vision, 318-333, 2016	343	2016

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