Items where Greenwich Author is "Nguyen, Tuan"
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2024
Sigger, Neetu, Vien, Quoc-Tuan, Nguyen, Sinh Van, Tozzi, Gianluca and Nguyen, Tuan Thanh ORCID: 0000-0003-0055-8218 (2024) Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification. Scientific Reports, 14:8438. ISSN 2045-2322 (Online) (doi:https://doi.org/10.1038/s41598-024-58125-4)
2022
Sigger, Neetu, Al-Jawed, Naseer and Nguyen, Tuan ORCID: 0000-0003-0055-8218 (2022) Spatial-temporal autoencoder with attention network for video compression. In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Online. February 6-8, 2022. Computer Vision Theory and Applications (VISAPP), 4 . Computer Vision Theory and Applications (VISAPP) - SCITEPRESS Digital Library, Setúbal, Portugal, pp. 364-371. ISBN 978-9897585555; ISSN 2184-4321 (doi:https://doi.org/10.5220/0010811900003124)
2021
Bose, Anu, Nguyen, Tuan ORCID: 0000-0003-0055-8218 , Du, Hongbo and AlZoubi, Alaa (2021) Faster RCNN hyperparameter selection for breast lesion detection in 2D ultrasound images. In: Advances in Computational Intelligence Systems Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Advances in Intelligent Systems and Computing (AISC) (1409). Springer, Cham, pp. 179-190. ISBN 978-3030870942 ISSN 2194-5365 (doi:https://doi.org/10.1007/978-3-030-87094-2_16)
Vien, Quoc-Tuan, Nguyen, Tuan T. ORCID: 0000-0003-0055-8218 and Nguyen, Huan X. (2021) Deep-NC: a secure image transmission using deep learning and network coding. Signal Processing: Image Communication, 99:116490. ISSN 0923-5965 (Print), 1879-2677 (Online) (doi:https://doi.org/10.1016/j.image.2021.116490)
Vien, Quoc-Tuan, Nguyen, Tuan ORCID: 0000-0003-0055-8218 and Nguyen, Huan (2021) A lightweight secure image super resolution using network coding. In: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 8-11 Feb 2021. Vienna, Austria. VISIGRAPP, 4 . SCITEPRESS, Setúbal, Portugal, pp. 653-660. ISBN 978-9897584886 ISSN 2184-4321 (doi:https://doi.org/10.5220/0010212406530660)