Dat Thanh Nguyen
Dat Thanh Nguyen, M. Sc.
Department of Electrical-Electronic-Communication Engineering
Chair of Multimedia Communications and Signal Processing (Prof. Dr. Kaup)
Cauerstr. 7
91058 Erlangen
- Phone number: +49 9131 85-27666
- Fax number: +49 9131 85-28849
- Email: dat.thanh.nguyen@fau.de
- Website: https://lms.tf.fau.de
Research
I am working with point cloud – the data structure used in many applications such as Virtual Reality, Augmented Reality, autonomous vehicles, etc. The main target is to reduce the storage/transmission cost of point cloud and with recent advances in deep learning, I have set a focus on learning-based point cloud compression methods. Different applications require different components/quality levels of the point cloud; therefore, we consider geometry coding as well as attributes coding in both lossless and lossy scenarios. Further information can be found in our Next-Generation Video Communications page.
Publications
2023
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Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model
In: IEEE Transactions on Circuits and Systems For Video Technology (2023), p. 1-1
ISSN: 1051-8215
DOI: 10.1109/TCSVT.2023.3239321
BibTeX: Download - , , :
DEEP PROBABILISTIC MODEL FOR LOSSLESS SCALABLE POINT CLOUD ATTRIBUTE COMPRESSION
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Rodos Palace Luxury Convention Resort, Rhodes Island, Greece, 4. June 2023 - 10. April 2023)
In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023 2023
DOI: 10.1109/icassp49357.2023.10095385
URL: https://arxiv.org/abs/2303.06517
BibTeX: Download
2022
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Learning-based Lossless Point Cloud Geometry Coding using Sparse Tensors
IEEE International Conference on Image Processing (ICIP) (Bordeaux, France, 16. October 2022 - 19. October 2022)
In: IEEE International Conference on Image Processing ICIP 2022 2022
DOI: 10.1109/icip46576.2022.9897827
URL: https://arxiv.org/abs/2204.05043
BibTeX: Download
2021
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Learning-based lossless compression of 3d point cloud geometry
In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021
DOI: 10.1109/ICASSP39728.2021.9414763
URL: https://ieeexplore.ieee.org/abstract/document/9414763
BibTeX: Download - , , , :
Lossless Coding of Point Cloud Geometry using a Deep Generative Model
In: IEEE Transactions on Circuits and Systems For Video Technology 31 (2021), p. 4617-4629
ISSN: 1051-8215
DOI: 10.1109/TCSVT.2021.3100279
URL: https://ieeexplore.ieee.org/abstract/document/9496667
BibTeX: Download - , , , :
Multiscale deep context modeling for lossless point cloud geometry compression
In: 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) 2021
DOI: 10.1109/ICMEW53276.2021.9455990
URL: https://ieeexplore.ieee.org/abstract/document/9455990
BibTeX: Download
Awards
- : FAU President’s Welcome Award (FAU Welcome Office; Prof. Dr. Joachim Hornegger, President of FAU) – 2021