239 citations · 244 across the 12 of their papers we have counts for
12 papers
Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection
Irem Ulku, Erdem Akagündüz, Ömer Özgür Tanrıöver
Multimodal remote sensing data provide complementary information for semantic segmentation, but in real-world deployments, some modalities may be unavailable due to sensor failures…
Deep Learning-based Average Shear Wave Velocity Prediction using Accelerometer Records
Barış Yılmaz, Melek Türkmen, Sanem Meral +2
Assessing seismic hazards and thereby designing earthquake-resilient structures or evaluating structural damage that has been incurred after an earthquake are important objectives…
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?
Engin Uzun, Erdem Akagunduz
Atmospheric turbulence poses a significant challenge to the performance of object detection models. Turbulence causes distortions, blurring, and noise in images by bending and scat…
Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts
Övgü Özdemir, Erdem Akagündüz
Visual question answering (VQA) is known as an AI-complete task as it requires understanding, reasoning, and inferring about the vision and the language content. Over the past few…
Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning
Utku Mert Topcuoglu, Erdem Akagündüz
In this paper, we present an innovative approach to self-supervised learning for Vision Transformers (ViTs), integrating local masked image modeling with progressive layer freezing…
EANet: Enhanced Attribute-based RGBT Tracker Network
Abbas Türkoğlu, Erdem Akagündüz
Tracking objects can be a difficult task in computer vision, especially when faced with challenges such as occlusion, changes in lighting, and motion blur. Recent advances in deep…
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders
Gülin Tüfekci, Alper Kayabaşi, Erdem Akagündüz +1
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…
Sequence Models for Drone vs Bird Classification
Fatih Cagatay Akyon, Erdem Akagunduz, Sinan Onur Altinuc +1
Drone detection has become an essential task in object detection as drone costs have decreased and drone technology has improved. It is, however, difficult to detect distant drones…
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models
Engin Uzun, Ahmet Anil Dursun, Erdem Akagunduz
Atmospheric turbulence has a degrading effect on the image quality of long-range observation systems. As a result of various elements such as temperature, wind velocity, humidity,…
Dynamical System Parameter Identification using Deep Recurrent Cell Networks
Erdem Akagündüz, Oguzhan Cifdaloz
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 dyn…
A Hybrid Framework for Matching Printing Design Files to Product Photos
Alper Kaplan, Erdem Akagunduz
We propose a real-time image matching framework, which is hybrid in the sense that it uses both hand-crafted features and deep features obtained from a well-tuned deep convolutiona…
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ulku, Erdem Akagunduz
Semantic segmentation is the pixel-wise labelling of an image. Since the problem is defined at the pixel level, determining image class labels only is not acceptable, but localisin…