Zobrazeno 1 - 10
of 7 430
pro vyhledávání: '"FANG, Zheng"'
Sparse and asynchronous sensing and processing in natural organisms lead to ultra low-latency and energy-efficient perception. Event cameras, known as neuromorphic vision sensors, are designed to mimic these characteristics. However, fully utilizing
Externí odkaz:
http://arxiv.org/abs/2410.10601
Autor:
Long, Qingqing, Yan, Yuchen, Zhang, Peiyan, Fang, Chen, Cui, Wentao, Ning, Zhiyuan, Xiao, Meng, Cao, Ning, Luo, Xiao, Xu, Lingjun, Jiang, Shiyue, Fang, Zheng, Chen, Chong, Hua, Xian-Sheng, Zhou, Yuanchun
Large-scale "pre-train and prompt learning" paradigms have demonstrated remarkable adaptability, enabling broad applications across diverse domains such as question answering, image recognition, and multimodal retrieval. This approach fully leverages
Externí odkaz:
http://arxiv.org/abs/2408.14520
Event cameras have the potential to revolutionize the field of robot vision, particularly in areas like stereo disparity estimation, owing to their high temporal resolution and high dynamic range. Many studies use deep learning for event camera stere
Externí odkaz:
http://arxiv.org/abs/2408.05452
Autor:
Zhang, Shuhang, Jiang, Shuai, Lin, Wanjie, Fang, Zheng, Liu, Kangjun, Zhang, Hongliang, Chen, Ke
Radio map is an efficient demonstration for visually displaying the wireless signal coverage within a certain region. It has been considered to be increasingly helpful for the future sixth generation (6G) of wireless networks, as wireless nodes are b
Externí odkaz:
http://arxiv.org/abs/2408.15252
Autor:
Jin, Dongming, Zhao, Shengxin, Jin, Zhi, Chen, Xiaohong, Wang, Chunhui, Fang, Zheng, Xiao, Hongbin
Cyber-physical systems (CPSs) integrate cyber and physical components and enable them to interact with each other to meet user needs. The needs for CPSs span rich application domains such as healthcare and medicine, smart home, smart building, etc. T
Externí odkaz:
http://arxiv.org/abs/2408.02450
Query intent classification is an essential module for customers to find desired products on the e-commerce application quickly. Most existing query intent classification methods rely on the users' click behavior as a supervised signal to construct t
Externí odkaz:
http://arxiv.org/abs/2408.01928
Moving object segmentation based on LiDAR is a crucial and challenging task for autonomous driving and mobile robotics. Most approaches explore spatio-temporal information from LiDAR sequences to predict moving objects in the current frame. However,
Externí odkaz:
http://arxiv.org/abs/2407.17905
3D single object tracking (SOT) is a crucial task in fields of mobile robotics and autonomous driving. Traditional motion-based approaches achieve target tracking by estimating the relative movement of target between two consecutive frames. However,
Externí odkaz:
http://arxiv.org/abs/2407.01959
Autor:
Fang, Zheng, Wang, Tao, Zhao, Lingchen, Zhang, Shenyi, Li, Bowen, Ge, Yunjie, Li, Qi, Shen, Chao, Wang, Qian
In recent years, extensive research has been conducted on the vulnerability of ASR systems, revealing that black-box adversarial example attacks pose significant threats to real-world ASR systems. However, most existing black-box attacks rely on quer
Externí odkaz:
http://arxiv.org/abs/2406.19311
Autor:
Fang, Zheng, Arana-Catania, Miguel, van Lier, Felix-Anselm, Velarde, Juliana Outes, Bregazzi, Harry, Airoldi, Mara, Carter, Eleanor, Procter, Rob
The sheer number of research outputs published every year makes systematic reviewing increasingly time- and resource-intensive. This paper explores the use of machine learning techniques to help navigate the systematic review process. ML has previous
Externí odkaz:
http://arxiv.org/abs/2406.16527