Radostina Petkova
PhD Student
Machine Learning Applications in Computer Vision
Research keyword.
Twinning for Enhancing Capacity and Research Excellence in Holographic Telepresence Systems as a Catalyst of Digitalisation – “HOLOTWIN”
HOLOTWIN aims to strengthen and stimulate the research excellence and innovation capacity of the Technical University of Sofia (TUS) in technologies for holographic telepresence systems (HTPS). The twinning will activate a process of knowledge transfer towards TUS (Bulgaria), which leverages on the academic and research excellence at AU (Denmark), UNiS (UK) and Hellenic American University
Inference algorithms for semantic knowledge extraction based on deep architectures for context-aware holographic communication
The goal of the project is to develop inference algorithms for semantic knowledge extraction based on deep architectures for context-aware HC by analyzing and combining effective methods and algorithms for 3D human body model acquisition; developing semantic knowledge extraction with deep neural networks to predict human behavior, including analysis of biometric modalities; developing methods for
Automatic Classification of Wood Species Using Deep Learning
Nicole Christoff, Nikolai Bardarov, Dessislava Nikolova
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
Automatic Classification of Wood Species Using Deep Learning Read More »
Impact Crater Rim Extraction Algorithm Based on Principal Curvature Directions
Hristo Hristov, Nicole Christoff
2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)
Impact Crater Rim Extraction Algorithm Based on Principal Curvature Directions Read More »
A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction
Georgios Kougioumtzidis, Vladimir Poulkov, Zaharias Zaharis, Pavlos Lazaridis
IEEE Access,Volume 10, Pages 19507 – 19538, 2022
A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction Read More »
Semantic Segmentation of 3D Facial Models Using 2D Annotations
Krasimir Tonchev, Radostina Petkova, Nikolay Neshov, Agata Manolova
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Semantic Segmentation of 3D Facial Models Using 2D Annotations Read More »
Vessels Detection Based on Neural Network with Application in Wood Recognition
Pavel Todorov, Nicole Christoff
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
Vessels Detection Based on Neural Network with Application in Wood Recognition Read More »
Human Skeleton Motion Prediction Using Graph Convolution Optimized GRU Network
Krasimir Tonchev, Agata Manolova, Radostina Petkova, Vladimir Poulkov
30th International Scientific Conference Electronics, ET 2021
Human Skeleton Motion Prediction Using Graph Convolution Optimized GRU Network Read More »
Human activity recognition with semantically guided graph-convolutional network
Agata Manolova, Krasimir Tonchev, Nikolay Neshov, Nicole Christoff
2021 XXX International Scientific Conference Electronics (ET)
Human activity recognition with semantically guided graph-convolutional network Read More »