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pro vyhledávání: '"Tan, Wenyi"'
Adversarial attacks against monocular depth estimation (MDE) systems pose significant challenges, particularly in safety-critical applications such as autonomous driving. Existing patch-based adversarial attacks for MDE are confined to the vicinity o
Externí odkaz:
http://arxiv.org/abs/2407.17312
This study introduces a novel approach to neural rendering, specifically tailored for adversarial camouflage, within an extensive 3D rendering framework. Our method, named FPA, goes beyond traditional techniques by faithfully simulating lighting cond
Externí odkaz:
http://arxiv.org/abs/2402.13575
Object detection is a fundamental task in various applications ranging from autonomous driving to intelligent security systems. However, recognition of a person can be hindered when their clothing is decorated with carefully designed graffiti pattern
Externí odkaz:
http://arxiv.org/abs/2312.16907
Publikováno v:
In Coordination Chemistry Reviews 1 July 2024 510
Publikováno v:
In Fuel 15 February 2024 358 Part A
Publikováno v:
In International Journal of Hydrogen Energy 2 January 2024 52 Part B:1577-1591
Publikováno v:
In Ceramics International October 2024
Publikováno v:
In International Journal of Hydrogen Energy 15 September 2023 48(79):30642-30652
Autor:
Yang, Jie, Chen, Le, Tan, Wenyi, Han, Bing, Xu, Yihan, Wang, Wenjing, Xu, Jiahui, Wang, Yuping
Publikováno v:
In Journal of Environmental Chemical Engineering June 2023 11(3)
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