Martin Madaras

Martin Madaras – fotografia
Meno: doc. RNDr. Martin Madaras, PhD.
docent
Email: madaras@fmph.uniba.sk
Miestnosť: I4, FTLab
Adresa: doc. RNDr. Martin Madaras, PhD.
Katedra aplikovanej informatiky
FMFI UK
Mlynská dolina
824 48 Bratislava
Web: https://dai.fmph.uniba.sk/w?title=Martin_Madaras/sk

Výučba

ZPGSO

Praktikum

VAR

Výskum

3D computer vision / Hybrid point cloud processing

Scanning of models / 3D reconstruction

Polygon Mesh Processing / Parametrization / Meshing

Motion capture / Human skeleton extraction / Automatic body measurement

Parameterization of 3D models / Automatic skeletonization of mesh models

Publikácie

Tomáš, Kunzo - Gajdošech, Lukáš - Kocur, Viktor - Madras, Martin. Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised LearningProcessing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning, World Symposium on Digital Intelligence for Systems and Machines (DISA2023)

Melicherčík, Martin - Gajdošech, Lukáš - Kocur, Viktor - Madras, Martin. Supersampling of Data from Structured-light Scanner with Deep LearningSupersampling of Data from Structured-light Scanner with Deep Learning, World Symposium on Digital Intelligence for Systems and Machines (DISA2023)

Kravár, Peter - Gajdošech, Lukáš - Madras, Martin. Novel Synthetic Data Tool for Data-Driven Cardboard Box LocalizationNovel Synthetic Data Tool for Data-Driven Cardboard Box Localization, 32nd International Conference on Artificial Neural Networks (ICANN 2023)

Škorvánková, Dana - Madaras, Martin. Inception Network for Anthropometric Body Measurements Estimation from Structured Point CloudsInception Network for Anthropometric Body Measurements Estimation from Structured Point Clouds, 10th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion

Gajdošech, Lukáš - Kocur, Viktor - Madras, Martin. Towards Deep Learning-based 6D Bin Pose Estimation in 3D ScansTowards Deep Learning-based 6D Bin Pose Estimation in 3D Scans, 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022)

Škorvánková, Dana - Madaras, Martin. Automatic Estimation of Anthropometric Human Body MeasurementsAutomatic Estimation of Anthropometric Human Body Measurements, 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022)

Škorvánková, Dana - Madaras, Martin. Human Pose Estimation Using Per-Pointbody Region Assignment. Computing and Informatics Roč. 40, č. 2 (2021), s. 387-407

Fúsek, Andrej - Riečický, Adam - Stuchlík, Martin - Madaras, Martin. Mesh Animation Compression using Skinning and Multi-chart Displacement Texture. VISIGRAPP 2021 : Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 1. vyd. Setúbal : SciTePress, 2021 S. 201-208 ( VISIGRAPP, ISSN 2184-4321 ; )

Madaras, Martin - Riečický, Adam - Mesároš, Michal - Stuchlík, Martin - Piovarči, Michal. Skeletex: Skeleton-texture co-representation for topology-driven real-time interchange and manipulation of surface regions. Computer Graphics Forum Roč. 37, č. 7 (2018), s. 325-336

Riečický, Adam - Madaras, Martin - Piovarči, Michal - Ďurikovič, Roman. Optical-inertial synchronization of MoCap suit with single camera setup for reliable position tracking. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Volume 1: GRAPP 1. vyd. Setúbal : SciTePress, 2018 S. 40-47 ( VISIGRAPP, ISSN 2184-4321 ; )

Baldacci, Andrea - Kamenický, Rastislav - Riečický, Adam - Cignoni, Paolo - Ďurikovič, Roman - Scopigno, Roberto - Madaras, Martin. GPU-based approaches for shape diameter function computation and its applications focused on skeleton extraction. Computers & Graphics Vol. 59, Spec. Iss. (2016), s. 151-159

Online database

ORCID profile: https://orcid.org/0000-0003-3917-4510

SCOPUS: https://www.scopus.com/authid/detail.uri?authorId=55652475300

WoS: https://www.webofscience.com/wos/author/record/32744784

(Presmerované z Martin Madaras)