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ÖZGE ÖZTİMUR KARADAĞ
ÖZGE ÖZTİMUR KARADAĞ
Alanya Alaaddin Keykubat University
Verified email at alanya.edu.tr
Title
Cited by
Cited by
Year
Imitating by generating: Deep generative models for imitation of interactive tasks
J Bütepage, A Ghadirzadeh, Ö Öztimur Karadaǧ, M Björkman, D Kragic
Frontiers in Robotics and AI 7, 47, 2020
262020
Segmentation fusion for building detection using domain-specific information
ÖÖ Karadağ, C Senaras, FTY Vural
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
242015
Image segmentation by fusion of low level and domain specific information via Markov Random Fields
OO Karadag, FTY Vural
Pattern Recognition Letters 46, 75-82, 2014
192014
Experimental assessment of the performance of data augmentation with generative adversarial networks in the image classification problem
ÖÖ Karadağ, ÖE Çiçek
2019 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2019
92019
Evaluation of the robustness of deep features on the change detection problem
ÖÖ Karadağ, Ö Erdaş
2018 26Th signal processing and communications applications conference (SIU …, 2018
72018
MRF based image segmentation augmented with domain specific information
Ö Öztimur Karadağ, FT Yarman Vural
Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013
52013
Hanolistic: A hierarchical automatic image annotation system using holistic approach
OO Karadag, FTY Vural
2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009
42009
Hanolistic: A hierarchical automatic image annotation system using holistic approach
O Oztimur, FTY Vural
2008 23rd International Symposium on Computer and Information Sciences, 1-6, 2008
42008
Semantic image segmentation with markov random fields
ÖÖ Karadağ, FTY Vural
2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012
32012
An adversarial framework for open-set human action recognition usingskeleton data
ÖÖ KARADAĞ
Turkish Journal of Electrical Engineering and Computer Sciences 29 (2), 717-729, 2021
22021
Empirical evaluation of the effectiveness of variational autoencoders on data augmentation for the image classification problem
OO Karadag, OE Cicek
International Journal of Intelligent Systems and Applications in Engineering …, 2020
12020
An MRF framework for co-solving image segmentation and border ownership
ÖÖ Karadağ, MA Akkuş, S Kalkan, FTY Vural
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
12015
Fusion of image segmentations under Markov, random fields
OO Karadag, FTY Vural
2014 22nd International Conference on Pattern Recognition, 930-935, 2014
12014
Segmentation and decision fusion for building detection
OO Karadag, C Senaras, FTY Vural
2014 IEEE Geoscience and Remote Sensing Symposium, 1604-1607, 2014
12014
Integration of domain specific information in the form of color homogeneity into mrf based image segmentation
ÖÖ Karadag, FTY Vural
Proceedings of the International Conference on Image Processing, Computer …, 2013
12013
Experimental Investigation of Spatial-temporal Graph Convolutional Networks and Attentional Mechanism in Skeleton-Based Action Recognition
U Kılıç, ÖÖ Karadağ, GT Özyer
2023 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-6, 2023
2023
Kenar Algılama Algoritmaları Arasında Nesnel Performans Karşılaştırması
RE ODUNCUOGLU, OO KARADAG
El-Cezeri 9 (4), 1290-1302, 2022
2022
An Evaluation of the Layers of a Deep Network on the Optical Character Recognition Problem
R Saygin, ÖÖ Karadağ
2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021
2021
Methods for Trajectory Prediction in Table Tennis
MF Kaftanci, M Günay, Ö Öztimur Karadağ
Trends in Data Engineering Methods for Intelligent Systems: Proceedings of …, 2021
2021
Imitating by Generating
J Bütepage, A Ghadirzadeh, Ö Öztimur Karadaǧ, M Björkman, D Kragic
Frontiers Research Foundation, 2020
2020
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