Slavcho Neshev
PhD Student
Image Segmentation
Research keyword.
3D Scene Segmentation: A Comprehensive Survey and Open Problems
Slavcho Neshev; Krasimir Tonchev; Agata Manolova; Vladimir Poulkov
IEEE Access
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Person and Face Re-Identification Using Semantic Information and Single Shot Face Identification
Krasimir Tonchev; Slavcho Neshev; Radostina Petkova; Agata Manolova; Vladimir Poulkov.
2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
Geometric features extraction and classification of tree species in Bulgaria in order to protect the environment, part of NATURA 2000
Competition for financial support for projects of junior basic researchers and postdocs – 2020 Technical Sciences Assist. Prof. Nicole Vesselinova Christoff, Ph. D The aim of the project is to develop and test an approach for segmentation of characteristic features, such as vessels, etc., as well as effective methods and algorithms for capturing microscopic images
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)
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Geometric and Topological Bases of a New Classification of Wood Vascular Tissues, Part 2: Classification of Vessels According to Their Grouping
Nikolai Bardarov, Nicole Christoff, Vladislav Todorov
Sustainability (Switzerland), 2022, 14(4), 2031
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)
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Objects distance measurement in augmented reality for providing better user experience
Nikolay Neshov, Agata Manolova
2020 International Scientific Conference of Communications, Information, Electronic and Energy Systems, CIEES 2020
Objects distance measurement in augmented reality for providing better user experience Read More »