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of 86
pro vyhledávání: '"Li, Haoda"'
Neural radiance fields (NeRFs) have recently emerged as a promising approach for 3D reconstruction and novel view synthesis. However, NeRF-based methods encode shape, reflectance, and illumination implicitly and this makes it challenging for users to
Externí odkaz:
http://arxiv.org/abs/2210.08398
Learning to autonomously assemble shapes is a crucial skill for many robotic applications. While the majority of existing part assembly methods focus on correctly posing semantic parts to recreate a whole object, we interpret assembly more literally:
Externí odkaz:
http://arxiv.org/abs/2205.14886
In this paper, we propose a framework centering around a novel architecture called the Event Decomposition Recomposition Network (EDRNet) to tackle the Audio-Visual Event (AVE) localization problem in the supervised and weakly supervised settings. AV
Externí odkaz:
http://arxiv.org/abs/2112.11547
Publikováno v:
In Journal of Alloys and Compounds 15 November 2024 1005
Publikováno v:
In Applied Ocean Research May 2024 146
Publikováno v:
In Ocean Engineering 15 April 2024 298
Autor:
Peng, Yanyan, Jiang, Dayong, Zhao, Man, Duan, Yuhan, Wei, Haoming, Li, Haoda, Liang, Qingcheng, Wang, Shiwei
Publikováno v:
In Journal of Alloys and Compounds 25 November 2023 965
Akademický článek
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Publikováno v:
In International Journal of Pressure Vessels and Piping October 2022 199
Publikováno v:
In Tribology International October 2022 174