activity
20202026
most citedDynamical System Parameter Identification using Deep Recurrent Cell Networks

3 citations · 5 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CV2026

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…

cs.CV20241 cited

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

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…