Ramazan Gokberk Cinbis

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Nazli Ikizler-CinbisProfessor of Computer Science Hacettepe UniversityVerified email at cs.hacettepe.edu.tr
Cordelia SchmidResearch director INRIA Verified email at inria.fr
Jakob VerbeekFAIR, MetaVerified email at inria.fr
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyVerified email at cs.hacettepe.edu.tr
Selim AksoyDepartment of Computer Engineering, Bilkent University, Ankara, TurkeyVerified email at cs.bilkent.edu.tr
Gencer SumbulEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityVerified email at bu.edu
Orhun Buğra BaranMETUVerified email at ceng.metu.edu.tr
Ivan LaptevProfessor at MBZUAI, on leave from INRIAVerified email at inria.fr
Josef SivicCzech Technical University, CIIRC, ELLIS Unit PragueVerified email at cvut.cz
David FouheyNew York UniversityVerified email at nyu.edu
Jean-Baptiste AlayracDeepMind, LondonVerified email at google.com
Dimitri ZhukovTractableVerified email at tractable.ai
A. Enis CetinUniversity of Illinois Chicago.Verified email at uic.edu
Oznur TastanAssociate Professor, Sabanci UniversityVerified email at sabanciuniv.edu
Halil Ibrahim KuruBilkent UniversityVerified email at bilkent.edu.tr
Samet CetinMiddle East Technical UniversityVerified email at metu.edu.tr
Erman AydayCase Western Reserve UniversityVerified email at case.edu
Onur Can ÜnerMiddle East Technical UniversityVerified email at metu.edu.tr
A. Ercument CicekAssociate Professor, Bilkent University; Adj. Faculty Member, Carnegie Mellon UniversityVerified email at cs.bilkent.edu.tr

Ramazan Gokberk Cinbis

Middle East Technical University (METU)

Verified email at metu.edu.tr - Homepage

machine learning computer vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Weakly supervised object localization with multi-fold multiple instance learning RG Cinbis, J Verbeek, C Schmid IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016	518	2016
Multi-fold mil training for weakly supervised object localization R Gokberk Cinbis, J Verbeek, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2014	272	2014
Cross-task weakly supervised learning from instructional videos D Zhukov, JB Alayrac, RG Cinbis, D Fouhey, I Laptev, J Sivic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	257	2019
Unsupervised metric learning for face identification in TV video RG Cinbis, J Verbeek, C Schmid 2011 International Conference on Computer Vision, 1559-1566, 2011	220	2011
Learning actions from the web N Ikizler-Cinbis, RG Cinbis, S Sclaroff 2009 IEEE 12th International Conference on Computer Vision, 995-1002, 2009	173	2009
Gradient matching generative networks for zero-shot learning MB Sariyildiz, RG Cinbis Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	170	2019
Segmentation driven object detection with fisher vectors R Gokberk Cinbis, J Verbeek, C Schmid Proceedings of the IEEE International Conference on Computer Vision, 2968-2975, 2013	153	2013
Recognizing actions from still images N Ikizler, RG Cinbis, S Pehlivan, P Duygulu 2008 19th international conference on pattern recognition, 1-4, 2008	153	2008
Fire detection in infrared video using wavelet analysis BU Töreyin, RG Cinbiş, Y Dedeoğlu, AE Çetin Optical Engineering 46 (6), 067204-067204-9, 2007	107	2007
Zero-shot object detection by hybrid region embedding B Demirel, RG Cinbis, N Ikizler-Cinbis British Machine Vision Conference, 2018	101	2018
Fine-grained object recognition and zero-shot learning in remote sensing imagery G Sumbul, RG Cinbis, S Aksoy IEEE Transactions on Geoscience and Remote Sensing 56 (2), 770-779, 2017	94	2017
Human action recognition with line and flow histograms N Ikizler, RG Cinbis, P Duygulu 2008 19th International Conference on Pattern Recognition, 1-4, 2008	92	2008
Image categorization using Fisher kernels of non-iid image models RG Cinbis, J Verbeek, C Schmid 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2184-2191, 2012	84	2012
Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning B Demirel, RG Cinbis, N Ikizler-Cinbis IEEE International Conference on Computer Vision (ICCV), 2017	80	2017
Contextual object detection using set-based classification RG Cinbis, S Sclaroff Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	50	2012
Multisource region attention network for fine-grained object recognition in remote sensing imagery G Sumbul, RG Cinbis, S Aksoy IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4929-4937, 2019	48	2019
DeepSide: a deep learning approach for drug side effect prediction OC Uner, HI Kuru, RG Cinbis, O Tastan, AE Cicek IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (1 …, 2022	41	2022
Towards zero-shot sign language recognition YC Bilge, RG Cinbis, N Ikizler-Cinbis IEEE transactions on pattern analysis and machine intelligence 45 (1), 1217-1232, 2022	38	2022
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages? YC Bilge, N Ikizler-Cinbis, RG Cinbis British Machine Vision Conference, 2019	37	2019
Approximate Fisher Kernels of non-iid Image Models for Image Categorization RG Cinbis, J Verbeek, C Schmid IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015	36	2015

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