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of 610
pro vyhledávání: '"Lv, Pei"'
Trajectory prediction is a pivotal component of autonomous driving systems, enabling the application of accumulated movement experience to current scenarios. Although most existing methods concentrate on learning continuous representations to gain va
Externí odkaz:
http://arxiv.org/abs/2410.02201
Autor:
Gao, Zhimin, Wang, Peitao, Lv, Pei, Jiang, Xiaoheng, Liu, Qidong, Wang, Pichao, Xu, Mingliang, Li, Wanqing
Despite great progress achieved by transformer in various vision tasks, it is still underexplored for skeleton-based action recognition with only a few attempts. Besides, these methods directly calculate the pair-wise global self-attention equally fo
Externí odkaz:
http://arxiv.org/abs/2210.02693
Traffic intersections are important scenes that can be seen almost everywhere in the traffic system. Currently, most simulation methods perform well at highways and urban traffic networks. In intersection scenarios, the challenge lies in the lack of
Externí odkaz:
http://arxiv.org/abs/2210.08118
Autor:
Zhang, Yuzhen, Wang, Wentong, Guo, Weizhi, Lv, Pei, Xu, Mingliang, Chen, Wei, Manocha, Dinesh
A profound understanding of inter-agent relationships and motion behaviors is important to achieve high-quality planning when navigating in complex scenarios, especially at urban traffic intersections. We present a trajectory prediction approach with
Externí odkaz:
http://arxiv.org/abs/2207.10398
Intelligent Traffic Light Control System (ITLCS) is a typical Multi-Agent System (MAS), which comprises multiple roads and traffic lights.Constructing a model of MAS for ITLCS is the basis to alleviate traffic congestion. Existing approaches of MAS a
Externí odkaz:
http://arxiv.org/abs/2203.04310
Graph convolutional networks (GCNs) based methods have achieved advanced performance on skeleton-based action recognition task. However, the skeleton graph cannot fully represent the motion information contained in skeleton data. In addition, the top
Externí odkaz:
http://arxiv.org/abs/2112.10570
Pedestrian trajectory prediction is an important technique of autonomous driving, which has become a research hot-spot in recent years. Previous methods mainly rely on the position relationship of pedestrians to model social interaction, which is obv
Externí odkaz:
http://arxiv.org/abs/2112.02459
Autor:
Zhang, Jing1 (AUTHOR), Lv, Pei-Yuan2 (AUTHOR), Zhao, Xiao3 (AUTHOR), Liu, Ming-Lu1 (AUTHOR), Qiu, Lu-Peng1 (AUTHOR), Yang, Zi-Zhong4 (AUTHOR), Sun, Sheng-Jie3 (AUTHOR) ssjdoctor@163.com, Zhang, Guo-Qing3 (AUTHOR) zhanggq_301@sina.com
Publikováno v:
BMC Cancer. 8/7/2024, Vol. 24 Issue 1, p1-9. 9p.
Weakly supervised object detection (WSOD) has attracted more and more attention since it only uses image-level labels and can save huge annotation costs. Most of the WSOD methods use Multiple Instance Learning (MIL) as their basic framework, which re
Externí odkaz:
http://arxiv.org/abs/2110.07511
Autor:
Lv, Pei, Fan, Jianqi, Nie, Xixi, Dong, Weiming, Jiang, Xiaoheng, Zhou, Bing, Xu, Mingliang, Xu, Changsheng
Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its usefulness in a wide variety of applications such as photography, film and television, e-commerce, fashion design and so on. This task is more seriously affecte
Externí odkaz:
http://arxiv.org/abs/2106.07488