2 citations · 5 across the 5 of their papers we have counts for
6 papers
Mul2MAR: A Multi-Marker Mobile Augmented Reality Application for Improved Visual Perception
Murat Kurt
This paper presents an inexpensive Augmented Reality (AR) application which is aimed to use with mobile devices. Our application is a marker based AR application, and it can be use…
LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection
Günel Jabbarlı, Murat Kurt
Accurate and fast recognition of forgeries is an issue of great importance in the fields of artificial intelligence, image processing and object detection. Recognition of forgeries…
ExTTNet: A Deep Learning Algorithm for Extracting Table Texts from Invoice Images
Adem Akdoğan, Murat Kurt
In this work, product tables in invoices are obtained autonomously via a deep learning model, which is named as ExTTNet. Firstly, text is obtained from invoice images using Optical…
MelNet: A Real-Time Deep Learning Algorithm for Object Detection
Yashar Azadvatan, Murat Kurt
In this study, a novel deep learning algorithm for object detection, named MelNet, was introduced. MelNet underwent training utilizing the KITTI dataset for object detection. Follo…
GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation
Barış Yıldırım, Murat Kurt
This paper presents a plugin that adds a representation of homogeneous and heterogeneous, optically thick, translucent materials on the Blender 3D modeling tool. The working princi…
Hyper-Realist Rendering: A Theoretical Framework
Ergun Akleman, Murat Kurt, Derya Akleman +3
This is the first paper in a series on hyper-realist rendering. In this paper, we introduce the concept of hyper-realist rendering and present a theoretical framework to obtain hyp…