Zobrazeno 1 - 10
of 8 295
pro vyhledávání: '"Zhaoliang An"'
Publikováno v:
IEEE Access, Vol 11, Pp 145566-145578 (2023)
This paper presents an intelligent model for the recognition of high-voltage direct current interference in geomagnetic observation stations. Firstly, it introduces the history and current status of geomagnetic observation in China, highlighting the
Externí odkaz:
https://doaj.org/article/dd405c893d39407783464d5aa35a6bdd
In this work, we provide a systematic analysis of how large language models (LLMs) contribute to solving planning problems. In particular, we examine how LLMs perform when they are used as problem solver, solution verifier, and heuristic guidance to
Externí odkaz:
http://arxiv.org/abs/2412.09666
Cooperative perception has attracted wide attention given its capability to leverage shared information across connected automated vehicles (CAVs) and smart infrastructures to address sensing occlusion and range limitation issues. However, existing r
Externí odkaz:
http://arxiv.org/abs/2412.06142
Autor:
Zhou, Zewei, Xiang, Hao, Zheng, Zhaoliang, Zhao, Seth Z., Lei, Mingyue, Zhang, Yun, Cai, Tianhui, Liu, Xinyi, Liu, Johnson, Bajji, Maheswari, Pham, Jacob, Xia, Xin, Huang, Zhiyu, Zhou, Bolei, Ma, Jiaqi
Vehicle-to-everything (V2X) technologies offer a promising paradigm to mitigate the limitations of constrained observability in single-vehicle systems. Prior work primarily focuses on single-frame cooperative perception, which fuses agents' informati
Externí odkaz:
http://arxiv.org/abs/2412.01812
Publikováno v:
Entropy, Vol 25, Iss 7, p 1018 (2023)
In this paper, we propose a novel method for point cloud complementation called PADPNet. Our approach uses a combination of global and local information to infer missing elements in the point cloud. We achieve this by dividing the input point cloud i
Externí odkaz:
https://doaj.org/article/e7216e64514849ee86feebfa26dca2f8
Point cloud registration is a foundational task for 3D alignment and reconstruction applications. While both traditional and learning-based registration approaches have succeeded, leveraging the intrinsic symmetry of point cloud data, including rotat
Externí odkaz:
http://arxiv.org/abs/2410.05729
Effective planning is essential for the success of any task, from organizing a vacation to routing autonomous vehicles and developing corporate strategies. It involves setting goals, formulating plans, and allocating resources to achieve them. LLMs a
Externí odkaz:
http://arxiv.org/abs/2409.01806
Autor:
Zhang, Zhaoliang, Song, Tianchen, Lee, Yongjae, Yang, Li, Peng, Cheng, Chellappa, Rama, Fan, Deliang
Recently, 3D Gaussian Splatting (3DGS) has become one of the mainstream methodologies for novel view synthesis (NVS) due to its high quality and fast rendering speed. However, as a point-based scene representation, 3DGS potentially generates a large
Externí odkaz:
http://arxiv.org/abs/2405.18784
3D Gaussian Splatting (3DGS) has made significant strides in novel view synthesis. However, its suboptimal densification process results in the excessively large number of Gaussian primitives, which impacts frame-per-second and increases memory usage
Externí odkaz:
http://arxiv.org/abs/2405.17793
Foundation models, especially those using transformers as backbones, have gained significant popularity, particularly in language and language-vision tasks. However, large foundation models are typically trained on high-quality data, which poses a si
Externí odkaz:
http://arxiv.org/abs/2404.17667