Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Jiang, Qinhong"'
LiDAR (Light Detection and Ranging) is a pivotal sensor for autonomous driving, offering precise 3D spatial information. Previous signal attacks against LiDAR systems mainly exploit laser signals. In this paper, we investigate the possibility of cros
Externí odkaz:
http://arxiv.org/abs/2409.17907
Autor:
Zhang, Youqian, Yang, Chunxi, Fu, Eugene Y., Jiang, Qinhong, Yan, Chen, Chau, Sze-Yiu, Ngai, Grace, Leong, Hong-Va, Luo, Xiapu, Xu, Wenyuan
Object detection can localize and identify objects in images, and it is extensively employed in critical multimedia applications such as security surveillance and autonomous driving. Despite the success of existing object detection models, they are o
Externí odkaz:
http://arxiv.org/abs/2407.16327
3D object detection from multiple image views is a fundamental and challenging task for visual scene understanding. Owing to its low cost and high efficiency, multi-view 3D object detection has demonstrated promising application prospects. However, a
Externí odkaz:
http://arxiv.org/abs/2211.09386
Point clouds and RGB images are two general perceptional sources in autonomous driving. The former can provide accurate localization of objects, and the latter is denser and richer in semantic information. Recently, AutoAlign presents a learnable par
Externí odkaz:
http://arxiv.org/abs/2207.10316
Autor:
Li, Zhenyu, Chen, Zehui, Li, Ang, Fang, Liangji, Jiang, Qinhong, Liu, Xianming, Jiang, Junjun
Monocular 3D object detection (Mono3D) has achieved tremendous improvements with emerging large-scale autonomous driving datasets and the rapid development of deep learning techniques. However, caused by severe domain gaps (e.g., the field of view (F
Externí odkaz:
http://arxiv.org/abs/2205.11664
Autor:
Li, Zhenyu, Chen, Zehui, Li, Ang, Fang, Liangji, Jiang, Qinhong, Liu, Xianming, Jiang, Junjun
Monocular 3D object detection (Mono3D) has achieved unprecedented success with the advent of deep learning techniques and emerging large-scale autonomous driving datasets. However, drastic performance degradation remains an unwell-studied challenge f
Externí odkaz:
http://arxiv.org/abs/2204.11590
3D object detection from multiple image views is a fundamental and challenging task for visual scene understanding. Due to its low cost and high efficiency, multi-view 3D object detection has demonstrated promising application prospects. However, acc
Externí odkaz:
http://arxiv.org/abs/2204.11582
Autor:
Jiang, Qinhong, Dong, Caitao, He, Ziqi, Wang, Yunhan, Jiang, Rong, Liao, Wenbiao, Yang, Sixing
Publikováno v:
In Journal of Ethnopharmacology 15 November 2024 334
Autor:
Xie, Mingli, Chen, Min, Wei, Huihui, Wang, Tenghui, Hu, Bin, Yang, Tianxin, Jiang, Qinhong, Xing, Panfei
Publikováno v:
In Sensors and Actuators: B. Chemical 1 November 2024 418
Autor:
Li, Zhenyu, Chen, Zehui, Li, Ang, Fang, Liangji, Jiang, Qinhong, Liu, Xianming, Jiang, Junjun, Zhou, Bolei, Zhao, Hang
Pre-training has become a standard paradigm in many computer vision tasks. However, most of the methods are generally designed on the RGB image domain. Due to the discrepancy between the two-dimensional image plane and the three-dimensional space, su
Externí odkaz:
http://arxiv.org/abs/2112.04680