On a keyword-lifecycle model for real-time event detection in social network data. - Tamás Matuszka; Zoltán Vincellér; Sándor Laki (CogInfoCom, 2013)

Augmented Reality Supported by Semantic Web Technologies. - Tamás Matuszka (ESWC, 2013)

A New Approach for Indoor Navigation Using Semantic Webtechnologies and Augmented Reality. - Tamás Matuszka; Gergo Gombos; Attila Kiss 001 (HCI (18), 2013)

Geodint: Towards Semantic Web-Based Geographic Data Integration. - Tamás Matuszka; Attila Kiss 001 (ACIIDS (1), 2014)

A Semantically Enriched Augmented Reality Browser. - Tamás Matuszka; Sándor Kámán; Attila Kiss 001 (HCI (16), 2014)

mSWB: Towards a Mobile Semantic Web Browser. - Tamás Matuszka; Gergo Gombos; Attila Kiss 001 (MobiWIS, 2014)

VOSD: A General-Purpose Virtual Observatory over Semantic Databases. - Gergo Gombos; Tamás Matuszka; Balázs Pinczel; Gábor Rácz; Attila Kiss 001 (Acta Cybern., 2014)

The Design and Implementation of Semantic Web-Based Architecture for Augmented Reality Browser. - Tamás Matuszka (ESWC, 2015)

AR Reference Model for K-Culture Time Machine. - Eunseok Kim; Junghoon Jo; Kihong Kim; Sunhyuck Kim; Seungmo Hong; Jea In Kim; Nohyoung Park; Hyerim Park; Tamás Matuszka; Jungwha Kim; Woontack Woo (HCI (5), 2016)

A Formal Model for Context-Aware Semantic Augmented Reality Systems. - Tamás Matuszka; Attila Kiss 001; Woontack Woo (HCI (19), 2016)

An Ontology-Based Augmented Reality Application Exploring Contextual Data of Cultural Heritage Sites. - Hayun Kim; Tamás Matuszka; Jea In Kim; Jungwha Kim; Woontack Woo (SITIS, 2016)

Szemantikus web technológiák által támogatott kiterjesztett valóság - Tamás Matuszka (2016)

Ontology-based mobile augmented reality in cultural heritage sites: information modeling and user study. - Hayun Kim; Tamás Matuszka; Jea In Kim; Jungwha Kim; Woontack Woo (Multim. Tools Appl., 2017)

HeroMirror interactive: a gesture controlled augmented reality gaming experience. - Tamás Matuszka; Ferenc Czuczor; Zoltán Sóstai (SIGGRAPH Posters, 2019)

A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations. - Tamás Matuszka; Dániel Kozma (ACIIDS (2), 2022)

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception. - Tamás Matuszka; Iván Barton; Ádám Butykai; Péter Hajas; Dávid Kiss; Domonkos Kovács; Sándor Kunsági-Máté; Péter Lengyel; Gábor Németh; Levente Peto; Dezso Ribli; Dávid Szeghy; et al. (CoRR, 2022)

Compute-Efficient Active Learning. - Gábor Németh; Tamás Matuszka (CoRR, 2024)

Multimodal Foundational Models for Unsupervised 3D General Obstacle Detection. - Tamás Matuszka; Péter Hajas; Dávid Szeghy (CoRR, 2024)

Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving. - Sándor Kunsági-Máté; Levente Peto; Lehel Seres; Tamás Matuszka (CoRR, 2024)

Hybrid Rendering for Multimodal Autonomous Driving: Merging Neural and Physics-Based Simulation. - Máté Tóth; Péter Kovács; Zoltán Bendefy; Zoltán Hortsin; Balázs Teréki; Tamás Matuszka (CoRR, 2025)