Erdem Akagündüz

E-mail

akaerdem@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0002-0792-7306

Scopus Author ID

8331988500

Web of Science Researcher ID

W-1788-2018

Enhancing Address Data Integrity using Transformer-Based Language Models Dönüştürücü Tabanlı Dil Modelleri Kullanarak Adres Veri Bütünlüğünün Geliştirilmesi Kürklü, Ömer Faruk; Akagündüz, Erdem (2024-01-01) Address data integrity is a critical aspect in numerous applications, yet it is often plagued with inaccuracies and inconsistencies, particularly in non-standardized formats. This study explores a novel application of tran...
Sequence Models for Drone vs Bird Classification Akyön, Fatih Çağatay; Akagündüz, Erdem; Altınuç, Sinan Onur; Temizel, Alptekin (2023-11-15)
EANet: Enhanced Attribute-Based RGBT Tracker Network Türkoğlu, Abbas; Akagündüz, Erdem (2023-11-15)
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders Tüfekci, Gülin; Kayabaşı, Alper; Akagündüz, Erdem; Ulusoy, İlkay (2023-01-01) In this paper, an LSTM autoencoder-based architecture is utilized for drowsiness detection with ResNet-34 as feature extractor. The problem is considered as anomaly detection for a single subject; therefore, only the norma...
A survey on infrared image & video sets Danaci, Kevser Irem; Akagündüz, Erdem (2023-01-01) In this survey, we compile a list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers. We mainly focus on IR image and video sets, which are collected and labelle...
Semantic Segmentation of Crop Areas in Remote Sensing Imagery using Spectral Indices and Multiple Channels ÜLKÜ, İREM; Akagündüz, Erdem (2023-01-01) This study focuses on pixel-wise semantic segmentation of crop production regions by using satellite remote sensing multispectral imagery. One of the principal aims of the study is to find out whether the raw multiple chan...
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models Uzun, Engin; Dursun, Ahmet Anil; Akagündüz, Erdem (2022-06-01)
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D Images Ülkü, İrem; Akagündüz, Erdem (2022-02-01) Semantic segmentation is the pixel-wise labeling of an image. Boosted by the extraordinary ability of convolutional neural networks (CNN) in creating semantic, high-level and hierarchical image features; several deep learn...
Deep Semantic Segmentation of Trees Using Multispectral Images Ulku, Irem; Akagündüz, Erdem; Ghamisi, Pedram (2022-01-01) Forests can be efficiently monitored by automatic semantic segmentation of trees using satellite and/or aerial images. Still, several challenges can make the problem difficult, including the varying spectral signature of d...
Dynamical system parameter identification using deep recurrent cell networks: Which gated recurrent unit and when? Cifdaloz, Oguzhan; Akagündüz, Erdem (2021-01-01) In this paper, we investigate the parameter identification problem in dynamical systems through a deep learning approach. Focusing mainly on second-order, linear time-invariant dynamical systems, the topic of damping facto...

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