Zobrazeno 1 - 10
of 543
pro vyhledávání: '"Zheng, Haotian"'
Robust 3D object detection remains a pivotal concern in the domain of autonomous field robotics. Despite notable enhancements in detection accuracy across standard datasets, real-world urban environments, characterized by their unstructured and dynam
Externí odkaz:
http://arxiv.org/abs/2405.07479
This study provides an in-depth analysis of the model architecture and key technologies of generative artificial intelligence, combined with specific application cases, and uses conditional generative adversarial networks ( cGAN ) and time series ana
Externí odkaz:
http://arxiv.org/abs/2404.03523
The article explores the intersection of computer vision technology and robotic control, highlighting its importance in various fields such as industrial automation, healthcare, and environmental protection. Computer vision technology, which simulate
Externí odkaz:
http://arxiv.org/abs/2404.01116
With the rapid evolution of the Internet and the exponential proliferation of information, users encounter information overload and the conundrum of choice. Personalized recommendation systems play a pivotal role in alleviating this burden by aiding
Externí odkaz:
http://arxiv.org/abs/2403.19345
Recently, automated medical image segmentation methods based on deep learning have achieved great success. However, they heavily rely on large annotated datasets, which are costly and time-consuming to acquire. Few-shot learning aims to overcome the
Externí odkaz:
http://arxiv.org/abs/2403.15901
Autor:
Li, Chen, Zheng, Haotian, Sun, Yiping, Wang, Cangqing, Yu, Liqiang, Chang, Che, Tian, Xinyu, Liu, Bo
In the realm of computational knowledge representation, Knowledge Graph Reasoning (KG-R) stands at the forefront of facilitating sophisticated inferential capabilities across multifarious domains. The quintessence of this research elucidates the empl
Externí odkaz:
http://arxiv.org/abs/2403.05801
Proteins are essential for life, and their structure determines their function. The protein secondary structure is formed by the folding of the protein primary structure, and the protein tertiary structure is formed by the bending and folding of the
Externí odkaz:
http://arxiv.org/abs/2402.19095
Data-driven predictive control promises model-free wave-dampening strategies for Connected and Autonomous Vehicles (CAVs) in mixed traffic flow. However, its performance relies on data quality, which suffers from unknown noise and disturbances.This p
Externí odkaz:
http://arxiv.org/abs/2402.03897
Out-of-distribution (OOD) detection discerns OOD data where the predictor cannot make valid predictions as in-distribution (ID) data, thereby increasing the reliability of open-world classification. However, it is typically hard to collect real out-o
Externí odkaz:
http://arxiv.org/abs/2311.03236
Autor:
Li, Shuai, Zheng, Haotian, Wang, Jiawei, Chen, Chaoyi, Xu, Qing, Wang, Jianqiang, Li, Keqiang
The emergence of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly focuses on "looking ahead" (i.e., the CAVs receive information from prec
Externí odkaz:
http://arxiv.org/abs/2309.01625