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of 10
pro vyhledávání: '"Royen, Remco"'
3D instance segmentation is crucial for obtaining an understanding of a point cloud scene. This paper presents a novel neural network architecture for performing instance segmentation on 3D point clouds. We propose to jointly learn coefficients and p
Externí odkaz:
http://arxiv.org/abs/2410.02352
3D scene understanding is crucial for facilitating seamless interaction between digital devices and the physical world. Real-time capturing and processing of the 3D scene are essential for achieving this seamless integration. While existing approache
Externí odkaz:
http://arxiv.org/abs/2410.02323
Publikováno v:
2023 24th International Conference on Digital Signal Processing (DSP), Rhodes (Rodos), Greece, 2023, pp. 1-5
This paper proposes a novel block merging algorithm suitable for any block-based 3D instance segmentation technique. The proposed work improves over the state-of-the-art by allowing wrongly labelled points of already processed blocks to be corrected
Externí odkaz:
http://arxiv.org/abs/2407.06991
Publikováno v:
Electronics Letters 60.5 (2024): e13137
3D instance segmentation is crucial for applications demanding comprehensive 3D scene understanding. In this paper, we introduce a novel method that simultaneously learns coefficients and prototypes. Employing an overcomplete sampling strategy, our m
Externí odkaz:
http://arxiv.org/abs/2407.06958
Gaussian Splatting has revolutionized the world of novel view synthesis by achieving high rendering performance in real-time. Recently, studies have focused on enriching these 3D representations with semantic information for downstream tasks. In this
Externí odkaz:
http://arxiv.org/abs/2405.18033
Autor:
Royen, Remco, Munteanu, Adrian
While deep learning-based methods have demonstrated outstanding results in numerous domains, some important functionalities are missing. Resolution scalability is one of them. In this work, we introduce a novel architecture, dubbed RESSCAL3D, providi
Externí odkaz:
http://arxiv.org/abs/2404.06863
Autor:
Vercheval, Nicolas1,2 (AUTHOR) nicolas.vercheval@ugent.be, Royen, Remco3 (AUTHOR) adrian.munteanu@vub.be, Munteanu, Adrian3 (AUTHOR), Pižurica, Aleksandra1 (AUTHOR)
Publikováno v:
Sensors (14248220). Mar2024, Vol. 24 Issue 5, p1414. 30p.
Autor:
Denis, Leon1,2 (AUTHOR) ldenis@etrovub.be, Royen, Remco1,2 (AUTHOR) qbolsee@etrovub.be, Bolsée, Quentin1,2 (AUTHOR) adrian.munteanu@vub.be, Vercheval, Nicolas3,4 (AUTHOR) nicolas.vercheval@ugent.be, Pižurica, Aleksandra3 (AUTHOR) aleksandra.pizurica@ugent.be, Munteanu, Adrian1,2 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2023, Vol. 23 Issue 19, p8130. 21p.
Publikováno v:
In Neural Networks May 2021 137:43-53
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