11 citations · 24 across the 6 of their papers we have counts for
7 papers
SCR-Guided Difficulty-Aware Optimization for Infrared Small Target Detection
Yunus Sevim, Behçet Uğur Töreyin
Infrared small target detection remains challenging due to severe background clutter, low contrast, and weak spatial responses where geometric overlap alone is insufficient to char…
Do deep neural networks utilize the weight space efficiently?
Onur Can Koyun, Behçet Uğur Töreyin
Deep learning models like Transformers and Convolutional Neural Networks (CNNs) have revolutionized various domains, but their parameter-intensive nature hampers deployment in reso…
Information-driven Nonlinear Quantum Neuron
Ufuk Korkmaz, Deniz Türkpençe
The promising performance increase offered by quantum computing has led to the idea of applying it to neural networks. Studies in this regard can be divided into two main categorie…
Vehicle Detection and Classification without Residual Calculation: Accelerating HEVC Image Decoding with Random Perturbation Injection
Muhammet Sebul Beratoğlu, Behçet Uğur Töreyin
In the field of video analytics, particularly traffic surveillance, there is a growing need for efficient and effective methods for processing and understanding video data. Traditi…
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam +3
One of the most efficient methods for model compression is hint distillation, where the student model is injected with information (hints) from several different layers of the teac…
Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video
Süleyman Aslan, Uğur Güdükbay, B. Uğur Töreyin +1
Real-time flame detection is crucial in video based surveillance systems. We propose a vision-based method to detect flames using Deep Convolutional Generative Adversarial Neural N…
Online Adaptive Decision Fusion Framework Based on Entropic Projections onto Convex Sets with Application to Wildfire Detection in Video
Osman Gunay, Behcet Ugur Toreyin, Kivanc Kose +1
In this paper, an Entropy functional based online Adaptive Decision Fusion (EADF) framework is developed for image analysis and computer vision applications. In this framework, it…