Project Details

Soudobé metody zpracování, analýzy a zobrazování multimediálních a 3D dat

Project Period: 1. 3. 2023 – 28. 2. 2026

Project Type: grant

Code: FIT-S-23-8278

Agency: Brno University of Technology

Program: Vnitřní projekty VUT

Type
grant
Abstract

Multimediální a 3D data jsou důležitými a potřebnými daty pro vzrůstající počet aplikací moderních počítačových systémů, v nichž je jejich využití nenahraditelné. Současně je známo, že zpracování takových dat je obtížné a výpočetně náročné a to platí i o jejich zobrazování a analýze. Proto je výzkum v této oblasti jedním z obtížnějších a důležitých. Projekt navazuje na dřívější projekt "Moderní metody zpracování, analýzy a zobrazování multimediálních a 3D dat".

Team members
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM) – research leader
Bambušek Daniel, Ing. (DCGM)
Bartl Vojtěch, Ing., Ph.D. (DCGM)
Bažout David, Ing. (UPGM)
Beneš Karel, Ing. (DCGM)
Beran Vítězslav, doc. Ing., Ph.D. (DCGM)
Bobák Petr, Ing. (DCGM)
Brukner Jan, Ing. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Čadík Martin, doc. Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
Dobeš Petr, Ing. (DCGM)
Dočekal Martin, Ing. (DCGM)
Fajčík Martin, Ing., Ph.D. (DCGM)
Hanák Jiří, Ing. (DCGM)
Herout Adam, prof. Ing., Ph.D. (DCGM)
Hříbek David, Ing.
Chlubna Tomáš, Ing. (DCGM)
Chudý Peter, doc. Ing., Ph.D., MBA (DCGM)
Kapinus Michal, Ing., Ph.D. (DCGM)
Karas Matej, Ing. (UPGM)
Kišš Martin, Ing. (DCGM)
Klepárník Petr, Ing., Ph.D. (DCGM)
Kocour Martin, Ing. (DCGM)
Kohút Jan, Ing. (DCGM)
Landini Federico Nicolás (DCGM)
Maršík Lukáš, Ing. (DCGM)
Mošner Ladislav, Ing. (DCGM)
Munzar Milan, Ing. (RG CPHOTO)
Nguyen Son Hai, Ing.
Nosko Svetozár, Ing. (DCGM)
Novák Jiří, Ing. (DCGM)
Omachtová Alena, Ing. (DCGM)
Ondřej Karel, Ing. (FIT)
Pavlus Ján, Ing. (DCGM)
Peng Junyi, Master of Technology, prof. UMK (DCGM)
Polášek Tomáš, Ing. (DCGM)
Reich Bořek, Ing. (DCGM)
Smrž Pavel, doc. RNDr., Ph.D. (DCGM)
Španěl Michal, Ing., Ph.D. (DCGM)
Špaňhel Jakub, Ing., Ph.D. (DCGM)
Švec Ján, Ing. (DCGM)
Švec Tomáš, Ing. (DCGM)
Vlnas Michal, Ing. (DCGM)
Publications

2024

  • BENEŠ, K.; KOCOUR, M.; BURGET, L. Hystoc: Obtaining Word Confidences for Fusion of End-To-End ASR Systems. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Seoul: IEEE Signal Processing Society, 2024. p. 11276-11280. ISBN: 979-8-3503-4485-1. Detail
  • CHLUBNA, T.; MILET, T.; ZEMČÍK, P. How Capturing Camera Trajectory Distortion Affects User Experience on Looking Glass 3D Display. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, vol. 2024, no. 83, p. 20265-20287. ISSN: 1573-7721. Detail
  • CHLUBNA, T.; MILET, T.; ZEMČÍK, P. Lightweight All-Focused Light Field Rendering. COMPUTER VISION AND IMAGE UNDERSTANDING, 2024, vol. 244, no. 7, p. 7-8. ISSN: 1077-3142. Detail
  • CHLUBNA, T.; ZEMČÍK, P.; MILET, T. Efficient Random-Access GPU Video Decoding for Light-Field Rendering. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2024, vol. 2024, no. 102, p. 1-14. ISSN: 1047-3203. Detail
  • NOVÁK, J.; CHUDÝ, P. Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach. In Machine Learning, Optimization, and Data Science. Lecture Notes in Computer Science. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Grasmere: Springer Nature Switzerland AG, 2024. p. 104-115. ISBN: 978-3-031-53968-8. ISSN: 0302-9743. Detail

2023

  • APAROVICH, M.; KESIRAJU, S.; DUFKOVÁ, A.; SMRŽ, P. FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification. In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). Toronto (online): Association for Computational Linguistics, 2023. p. 1518-1524. ISBN: 978-1-959429-99-9. Detail
  • BAŘINA, D. Experimental lossless data compressor. Microprocessors and Microsystems, 2023, vol. 98, no. 4, p. 104803-104803. ISSN: 0141-9331. Detail
  • BHATTACHARJEE, M.; MOTLÍČEK, P.; NIGMATULINA, I.; HELMKE, H.; OHNEISER, O.; KLEINERT, M.; EHR, H. Customization of Automatic Speech Recognition Engines for Rare Word Detection Without Costly Model Re-Training. Proceedings of the 13th SESAR Innovation Days. Seville: SESAR Joint Undertaking, 2023. p. 1-8. Detail
  • BOBÁK, P.; ČMOLÍK, L.; ČADÍK, M. Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, p. 1-14. ISSN: 1077-2626. Detail
  • BURDISSO, S.; VILLATORO-TELLO, E.; MADIKERI, S.; MOTLÍČEK, P. Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews. In Proceedings of the Annual Conference of International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 3617-3621. ISSN: 1990-9772. Detail
  • CHLUBNA, T.; MILET, T.; ZEMČÍK, P.; KULA, M. Real-Time Light Field Video Focusing and GPU Accelerated Streaming. Journal of Signal Processing Systems for Signal Image and Video Technology, 2023, vol. 95, no. 6, p. 703-719. ISSN: 1939-8115. Detail
  • GAVRIELIDES, A.; SOPHOCLEOUS, M.; AGAPIOU, G.; LESSI, C.; ŠPAŇHEL, J.; LENDINEZ, A.; QIU, R.; LI, D. Implementing Network Applications for 5G-Enabled Robots Through the 5G-ERA Platform. In IFIP Advances in Information and Communication Technology. IFIP Advances in Information and Communication Technology. Artificial Intelligence Applications and Innovations. Cham: Springer Nature Switzerland AG, 2023. p. 55-65. ISBN: 978-3-031-34170-0. ISSN: 1868-422X. Detail
  • HANÁK, J.; CHUDÝ, P.; VLK, J. Collaborative Agents for Synthetic Tactical Training. In AIAA/IEEE Digital Avionics Systems Conference - Proceedings. Barcelona: Institute of Electrical and Electronics Engineers, 2023. p. 1-9. ISBN: 979-8-3503-3357-2. ISSN: 2155-7195. Detail
  • HELMKE, H.; KLEINERT, M.; AHRENHOLD, N.; EHR, H.; MÜHLHAUSEN, T.; PINSKA, E.; OHNEISER, O.; KLAMERT, L.; MOTLÍČEK, P.; PRASAD, A.; ZULUAGA-GOMEZ, J.; DOKIC, J. Automatic Speech Recognition and Understanding for Radar Label Maintenance Support Increases Safety and Reduces Air Traffic Controllers' Workload. Proceedings of ATM Seminar. Savannah, Georgia: EUROPEAN ORGANISATION FOR THE SAFETY OF AIR NAVIGATION, 2023. p. 1-11. Detail
  • KHALIL, D.; PRASAD, A.; MOTLÍČEK, P.; ZULUAGA-GOMEZ, J.; NIGMATULINA, I.; MADIKERI, S.; SCHUEPBACH, C. An Automatic Speaker Clustering Pipeline for the Air Traffic Communication Domain. Aerospace, 2023, vol. 10, no. 10, p. 1-14. ISSN: 2226-4310. Detail
  • KIŠŠ, M.; HRADIŠ, M.; BENEŠ, K.; BUCHAL, P.; KULA, M. SoftCTC-semi-supervised learning for text recognition using soft pseudo-labels. International Journal on Document Analysis and Recognition, 2023, vol. 2024, no. 27, p. 177-193. ISSN: 1433-2825. Detail
  • MAI, F.; ZULUAGA-GOMEZ, J.; PARCOLLET, T.; MOTLÍČEK, P. HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition. In Proceedings of the Annual Conference of International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 2213-2217. ISSN: 1990-9772. Detail
  • MOTLÍČEK, P.; PRASAD, A.; NIGMATULINA, I.; HELMKE, H.; OHNEISER, O.; KLEINERT, M. Automatic Speech Analysis Framework for ATC Communication in HAAWAII. Proceedings of the 13th SESAR Innovation Days. Seville: SESAR Joint Undertaking, 2023. p. 1-9. Detail
  • NIGMATULINA, I.; MADIKERI, S.; VILLATORO-TELLO, E.; MOTLÍČEK, P.; ZULUAGA-GOMEZ, J.; PANDIA, K.; GANAPATHIRAJU, A. Implementing contextual biasing in GPU decoder for online ASR. In Proceedings of the Annual Conference of International Speech Communication Association, INTERSPEECH. Proceedings of Interspeech. Dublin: International Speech Communication Association, 2023. p. 4494-4498. ISSN: 1990-9772. Detail
  • NOVÁK, J.; CHUDÝ, P. Surrogate Modeling of Optimal Control Based Collision Avoidance System for Multirotor Unmanned Aerial Vehicles. In AIAA/IEEE Digital Avionics Systems Conference - Proceedings. Barcelona: Institute of Electrical and Electronics Engineers, 2023. p. 1-7. ISBN: 979-8-3503-3357-2. ISSN: 2155-7195. Detail
  • OMACHTOVÁ, A.; HEROUT, A.; BAMBUŠEK, D.; JUŘÍK, V. How to shoot yourself right with a smartphone?. VIRTUAL REALITY, 2023, vol. 2023, no. 1, p. 1-13. ISSN: 1434-9957. Detail
  • POLÁŠEK, T.; ČADÍK, M.; KELLER, Y.; BENEŠ, B. Vision UFormer: Long-Range Monocular Absolute Depth Estimation. COMPUTERS & GRAPHICS-UK, 2023, vol. 111, no. 4, p. 180-189. ISSN: 0097-8493. Detail
  • SKOWRON, M.; BACKFRIED, G.; NAVAS, E.; BERZINŠ, A.; VAN, J.; DE, F.; DEMARCO, A.; POLÁK, P.; KOVÁČ, M.; POLÁK, P.; ROHDIN, J.; ROSNER, M.; SANCHEZ, J.; SARATXAGA, I.; SCHWARZ, P. Deep Dive Speech Technology. In European Language Equality. Cham: Springer Nature Switzerland AG, 2023. p. 289-312. ISBN: 978-3-031-28819-7. Detail
  • VANDERREYDT, G.; PRASAD, A.; KHALIL, D.; MADIKERI, S.; DEMUYNCK, K.; MOTLÍČEK, P. Parameter-Efficient Tuning With Adaptive Bottlenecks For Automatic Speech Recognition. Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Taipei: IEEE Signal Processing Society, 2023. p. 1-7. ISBN: 979-8-3503-0689-7. Detail
  • VILLATORO-TELLO, E.; MADIKERI, S.; ZULUAGA-GOMEZ, J.; SHARMA, B.; SARFJOO, S.; NIGMATULINA, I.; MOTLÍČEK, P.; IVANOV, V.; GANAPATHIRAJU, A. Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Rhodes Island: IEEE Signal Processing Society, 2023. p. 1-5. ISBN: 978-1-7281-6327-7. Detail
  • YUSUF, B.; GOURAV, A.; GANDHE, A.; BULYKO, I. On-the-Fly Text Retrieval for end-to-end ASR Adaptation. In Proceedings of ICASSP 2023. Rhodes Island: IEEE Signal Processing Society, 2023. p. 1-5. ISBN: 978-1-7281-6327-7. Detail
  • ZULUAGA-GOMEZ, J.; PRASAD, A.; NIGMATULINA, I.; MOTLÍČEK, P.; KLEINERT, M.;. A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers. Aerospace, 2023, vol. 10, no. 5, p. 1-25. ISSN: 2226-4310. Detail

2022

  • BOITO, M.; YUSUF, B.; ONDEL YANG, L.; VILLAVICENCIO, A.; BESACIER, L. Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings. In Proceedings of the the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages. Marseile: European Language Resources Association, 2022. p. 1-9. ISBN: 979-10-95546-91-7. Detail
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