Publications (26)
A New Hole Density as a Stability Measure for Boron Fullerenes
Serkan Polad, Mete Ozay
Design of Kernels in Convolutional Neural Networks for Image Classification
Zhun Sun, Mete Ozay, Takayuki Okatani
Integrating Deep Features for Material Recognition
Yan Zhang, Mete Ozay, Xing Liu +1
Discriminative Functional Connectivity Measures for Brain Decoding
Orhan Firat, Mete Ozay, Ilke Oztekin +1
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization
Mete Ozay, Krzysztof Walas, Ales Leonardis
A vision based system for underwater docking
Shuang Liu, Mete Ozay, Takayuki Okatani +3
Hierarchical Multi-resolution Mesh Networks for Brain Decoding
Itir Onal Ertugrul, Mete Ozay, Fatos Tunay Yarman Vural
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding
Itir Onal, Mete Ozay, Eda Mizrak +2
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images
Mete Ozay
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries
Junjie Hu, Mete Ozay, Yan Zhang +1
Fusion of Image Segmentation Algorithms using Consensus Clustering
Mete Ozay, Fatos T. Yarman Vural, Sanjeev R. Kulkarni +1
Mesh Learning for Classifying Cognitive Processes
Mete Ozay, Ilke Ãztekin, Uygar Ãztekin +1
Deep Structured Energy-Based Image Inpainting
Fazil Altinel, Mete Ozay, Takayuki Okatani
Linear Discriminant Generative Adversarial Networks
Zhun Sun, Mete Ozay, Takayuki Okatani
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification
Itir Onal Ertugrul, Mete Ozay, Fatos T. Yarman Vural
Optimization on Product Submanifolds of Convolution Kernels
Mete Ozay, Takayuki Okatani
A New Fuzzy Stacked Generalization Technique and Analysis of its Performance
Mete Ozay, Fatos T. Yarman Vural
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
Mingzhen Shao, Zhun Sun, Mete Ozay +1
Truncating Wide Networks using Binary Tree Architectures
Yan Zhang, Mete Ozay, Shuohao Li +1
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs
Zhun Sun, Mete Ozay, Takayuki Okatani
HyperNetworks with statistical filtering for defending adversarial examples
Zhun Sun, Mete Ozay, Takayuki Okatani
Information Potential Auto-Encoders
Yan Zhang, Mete Ozay, Zhun Sun +1
Optimization on Submanifolds of Convolution Kernels in CNNs
Mete Ozay, Takayuki Okatani
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
Masanori Suganuma, Mete Ozay, Takayuki Okatani
Fine-grained Optimization of Deep Neural Networks
Mete Ozay
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model
Umit Rusen Aktas, Mete Ozay, Ales Leonardis +1