831 citations · 845 across the 10 of their papers we have counts for
11 papers
Binarized Weight Error Networks With a Transition Regularization Term
Savas Ozkan, Gozde Bozdagi Akar
This paper proposes a novel binarized weight network (BT) for a resource-efficient neural structure. The proposed model estimates a binary representation of weights by taking into…
Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss
Savas Ozkan, Gozde Bozdagi Akar
This study proposes a novel framework for spectral unmixing by using 1D convolution kernels and spectral uncertainty. High-level representations are computed from data, and they ar…
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging
Bora Baydar, Savas Ozkan, A. Emre Kavur +3
Despite the widespread use of deep learning methods for semantic segmentation of images that are acquired from a single source, clinicians often use multi-domain data for a detaile…
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) have intr…
Automatic Liver Segmentation with Adversarial Loss and Convolutional Neural Network
Bora Baydar, Savas Ozkan, Gozde Bozdagi Akar
Automatic segmentation of medical images is among most demanded works in the medical information field since it saves time of the experts in the field and avoids human error factor…
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty
Savas Ozkan, Gozde Bozdagi Akar
In this study, we propose a novel framework for hyperspectral unmixing by using an improved deep spectral convolution network (DSCN++) combined with endmember uncertainty. DSCN++ i…
Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video Search
Savas Ozkan, Gozde Bozdagi Akar
The cost-effective visual representation and fast query-by-example search are two challenging goals that should be maintained for web-scale visual retrieval tasks on moderate hardw…
Cloud Detection From RGB Color Remote Sensing Images With Deep Pyramid Networks
Savas Ozkan, Mehmet Efendioglu, Caner Demirpolat
Cloud detection from remotely observed data is a critical pre-processing step for various remote sensing applications. In particular, this problem becomes even harder for RGB color…
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction
Savas Ozkan, Gozde Bozdagi Akar
Frame-level visual features are generally aggregated in time with the techniques such as LSTM, Fisher Vectors, NetVLAD etc. to produce a robust video-level representation. We here…
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing
Savas Ozkan, Berk Kaya, Gozde Bozdagi Akar
Data acquired from multi-channel sensors is a highly valuable asset to interpret the environment for a variety of remote sensing applications. However, low spatial resolution is a…
Large-Scale Video Search with Efficient Temporal Voting Structure
Ersin Esen, Savas Ozkan, Ilkay Atil
In this work, we propose a fast content-based video querying system for large-scale video search. The proposed system is distinguished from similar works with two major contributio…