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How to Combine Variational Bayesian Networks in Federated Learning



Atahan Ozer , Kadir Burak Buldu , Abdullah Akgül , Gozde Unal


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Continual Learning of Multi-modal Dynamics with External Memory



Abdullah Akgül , Gozde Unal , Melih Kandemir


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Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks



Gozdenur Demir , Asli Cekmis , Vahit Bugra Yesilkaynak , Gozde Unal


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Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation



Ufuk Demir , Atahan Ozer , Yusuf H. Sahin , Gozde Unal

* This work is accepted for publication in the PRedictive Intelligence in MEdicine (PRIME) workshop Springer proceedings in conjunction with MICCAI 2021 

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Evidential Turing Processes



Melih Kandemir , Abdullah Akgül , Manuel Haussmann , Gozde Unal


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Single Image Depth Estimation: An Overview



Alican Mertan , Damien Jade Duff , Gozde Unal

* This is a preprint 

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ODFNet: Using orientation distribution functions to characterize 3D point clouds



Yusuf H. Sahin , Alican Mertan , Gozde Unal

* The paper is under consideration at Computer Vision and Image Understanding 

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Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks



Gulcin Baykal , Furkan Ozcelik , Gozde Unal

* Preprint submitted to Elsevier Pattern Recognition 

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A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation



Alican Mertan , Yusuf Huseyin Sahin , Damien Jade Duff , Gozde Unal

* Accepted at 3DV 2020 

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Relative Depth Estimation as a Ranking Problem



Alican Mertan , Damien Jade Duff , Gozde Unal

* Accepted at SIU 2020 

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