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 | 19 | 2015 |
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 | 16 | 2014 |
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 | 6 | 2018 |
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 | 5 | 2020 |
MRF based image segmentation augmented with domain specific information ÖÖ Karadağ, FTY Vural International Conference on Image Analysis and Processing, 61-70, 2013 | 5 | 2013 |
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 | 4 | 2009 |
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 | 4 | 2008 |
Semantic image segmentation with markov random fields ÖÖ Karadağ, FTY Vural 2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012 | 3 | 2012 |
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 | 2 | 2019 |
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 | 1 | 2015 |
Segmentation and decision fusion for building detection OO Karadag, C Senaras, FTY Vural 2014 IEEE Geoscience and Remote Sensing Symposium, 1604-1607, 2014 | 1 | 2014 |
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 | 1 | 2013 |
An adversarial framework for open-set human action recognition usingskeleton data ÖÖ KARADAĞ Turkish Journal of Electrical Engineering & Computer Sciences 29 (2), 717-729, 2021 | | 2021 |
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 | | 2020 |
Imitating by Generating J Bütepage, A Ghadirzadeh, Ö Öztimur Karadaǧ, M Björkman, D Kragic Frontiers Research Foundation, 2020 | | 2020 |
Experimental Assessment of the Performance of Data Augmentation with Generative Adversarial Networks in the Image Classification Problem ÖK Özge, EÇ Özlem Akıllı Sistemlerde Yenilikler ve Uygulamaları, 2019 | | 2019 |
Protein-Drug Binding Analysis Using Change Detection on Binding Site Images Ö Erdaş, ÖÖ Karadağ 2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-4, 2018 | | 2018 |
Fusion of Image Segmentations under Markov, Random Fields OO Karadag, FTY Vural 2014 22nd International Conference on Pattern Recognition, 930-935, 2014 | | 2014 |
Fusion of image segmentation with domain specific information under an unsupervised markov random fields model ÖÖ Karadağ | | 2014 |
MRA ileImge Bölütleme ve Sınır Sahipligi Problemlerinin Es Zamanlı Çözümü An MRF Framework For Co-Solving Image Segmentation and Border Ownership OO Karadag, MA Akkus, S Kalkan, FTY Vural | | |