Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Lan, Gongjin"'
Autonomous driving significantly benefits from data-driven deep neural networks. However, the data in autonomous driving typically fits the long-tailed distribution, in which the critical driving data in adverse conditions is hard to collect. Althoug
Externí odkaz:
http://arxiv.org/abs/2408.01430
Human pose estimation (HPE), particularly multi-person pose estimation (MPPE), has been applied in many domains such as human-machine systems. However, the current MPPE methods generally run on powerful GPU systems and take a lot of computational cos
Externí odkaz:
http://arxiv.org/abs/2407.13777
Autor:
Lan, Gongjin, Hao, Qi
This paper aims to provide a quick review of the methods including the technologies in detail that are currently reported in industry and academia. Specifically, this paper reviews the end-to-end planning, including Tesla FSD V12, Momenta 2023, Horiz
Externí odkaz:
http://arxiv.org/abs/2401.08658
Automotive engine assembly and disassembly are common and crucial programs in the automotive industry. Traditional education trains students to learn automotive engine assembly and disassembly in lecture courses and then to operate with physical engi
Externí odkaz:
http://arxiv.org/abs/2311.02108
Multiclass classification is a fundamental and challenging task in machine learning. The existing techniques of multiclass classification can be categorized as (i) decomposition into binary (ii) extension from binary and (iii) hierarchical classifica
Externí odkaz:
http://arxiv.org/abs/2308.13876
Human pose estimation (HPE) has attracted a significant amount of attention from the computer vision community in the past decades. Moreover, HPE has been applied to various domains, such as human-computer interaction, sports analysis, and human trac
Externí odkaz:
http://arxiv.org/abs/2308.13872
Semantic Web (SW) technology has been widely applied to many domains such as medicine, health care, finance, geology. At present, researchers mainly rely on their experience and preferences to develop and evaluate the work of SW technology. Although
Externí odkaz:
http://arxiv.org/abs/2201.07034
Autor:
Zhou, Xu, Li, Jie, Lan, Gongjin, Ni, Rongrong, Cangelosi, Angelo, Wang, Jiaxin, Liu, Xiaofeng
Publikováno v:
In Information Fusion June 2024 106
The challenge of robotic reproduction -- making of new robots by recombining two existing ones -- has been recently cracked and physically evolving robot systems have come within reach. Here we address the next big hurdle: producing an adequate brain
Externí odkaz:
http://arxiv.org/abs/2010.09531
Not all generate-and-test search algorithms are created equal. Bayesian Optimization (BO) invests a lot of computation time to generate the candidate solution that best balances the predicted value and the uncertainty given all previous data, taking
Externí odkaz:
http://arxiv.org/abs/2005.04166