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; Former CEO of IIAI, Initiator/Provost & EVP of MBZUAIVerified email at inceptioniai.org
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Xin YuThe University of QueenslandVerified email at uq.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
Saeed AnwarKFUPM; Australian National University; University of Technology Sydney; University of CanberraVerified email at anu.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
Shubhankar BorseQualcomm AI ResearchVerified email at qti.qualcomm.com
Tomáš VojířCenter for Machine Perception, Czech Technical University in PragueVerified email at cmp.felk.cvut.cz
Muzammal NaseerMBZUAI, Australian National UniversityVerified email at mbzuai.ac.ae
Ajay J JoshiUniversity of Minnesota, Twin CitiesVerified email at cs.umn.edu
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
Pierre-Marc JodoinUniversité de SherbrookeVerified email at usherbrooke.ca

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	2350	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	2112	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	1819	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	1246	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	1103	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	1063	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	988	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	866*	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	781	2009
Going deeper into action recognition: A survey S Herath, M Harandi, F Porikli Image and vision computing 60, 4-21, 2017	722	2017
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	669	2007
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	651	2016
Saliency-aware geodesic video object segmentation W Wang, J Shen, F Porikli Proceedings of the IEEE conference on computer vision and pattern …, 2015	578	2015
Underwater scene prior inspired deep underwater image and video enhancement C Li, S Anwar, F Porikli Pattern Recognition 98, 107038, 2020	520	2020
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	477	2019
Constant time O (1) bilateral filtering F Porikli 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	457	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	454	2017
Less is more: Towards compact cnns H Zhou, JM Alvarez, F Porikli Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	381	2016
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	347	2018
Ultra-resolving face images by discriminative generative networks X Yu, F Porikli European conference on computer vision, 318-333, 2016	323	2016

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