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pro vyhledávání: '"Nguyen, Dat Thanh"'
Recent advancements in point cloud compression have primarily emphasized geometry compression while comparatively fewer efforts have been dedicated to attribute compression. This study introduces an end-to-end learned dynamic lossy attribute coding a
Externí odkaz:
http://arxiv.org/abs/2408.10665
Autor:
Nguyen, Dat Thanh
In recent years, the availability of large-scale annotated datasets, such as the Stanford Natural Language Inference and the Multi-Genre Natural Language Inference, coupled with the advent of pre-trained language models, has significantly contributed
Externí odkaz:
http://arxiv.org/abs/2312.08747
Autor:
Herglotz, Christian, Och, Hannah, Meyer, Anna, Ramasubbu, Geetha, Eichermüller, Lena, Kränzler, Matthias, Brand, Fabian, Fischer, Kristian, Nguyen, Dat Thanh, Regensky, Andy, Kaup, André
In this paper, we provide an in-depth assessment on the Bj{\o}ntegaard Delta. We construct a large data set of video compression performance comparisons using a diverse set of metrics including PSNR, VMAF, bitrate, and processing energies. These metr
Externí odkaz:
http://arxiv.org/abs/2304.12852
Autor:
Nguyen, Dat Thanh, Kaup, Andre
Publikováno v:
EEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 8, pp. 4337-4348, Aug. 2023
In recent years, we have witnessed the presence of point cloud data in many aspects of our life, from immersive media, autonomous driving to healthcare, although at the cost of a tremendous amount of data. In this paper, we present an efficient lossl
Externí odkaz:
http://arxiv.org/abs/2303.06519
In recent years, several point cloud geometry compression methods that utilize advanced deep learning techniques have been proposed, but there are limited works on attribute compression, especially lossless compression. In this work, we build an end-
Externí odkaz:
http://arxiv.org/abs/2303.06517
Publikováno v:
Managerial Finance, 2023, Vol. 50, Issue 2, pp. 367-385.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MF-02-2023-0138
Autor:
Nguyen, Dat Thanh, Kaup, Andre
Most point cloud compression methods operate in the voxel or octree domain which is not the original representation of point clouds. Those representations either remove the geometric information or require high computational power for processing. In
Externí odkaz:
http://arxiv.org/abs/2204.05043
Publikováno v:
International Journal of Bank Marketing, 2023, Vol. 41, Issue 7, pp. 1847-1871.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJBM-03-2023-0156
Publikováno v:
In Journal of Empirical Finance September 2024 78
Publikováno v:
In Finance Research Letters June 2024 64