Zobrazeno 1 - 10
of 330
pro vyhledávání: '"Lim, Eng Gee"'
Radar-based contactless cardiac monitoring has become a popular research direction recently, but the fine-grained electrocardiogram (ECG) signal is still hard to reconstruct from millimeter-wave radar signal. The key obstacle is to decouple the cardi
Externí odkaz:
http://arxiv.org/abs/2408.01672
Autor:
Li, Zhuoxiao, Yao, Shanliang, Chu, Yijie, Garcia-Fernandez, Angel F., Yue, Yong, Lim, Eng Gee, Zhu, Xiaohui
In the rapidly evolving field of 3D reconstruction, 3D Gaussian Splatting (3DGS) and 2D Gaussian Splatting (2DGS) represent significant advancements. Although 2DGS compresses 3D Gaussian primitives into 2D Gaussian surfels to effectively enhance mesh
Externí odkaz:
http://arxiv.org/abs/2407.11840
Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension
Autor:
Guan, Runwei, Zhang, Ruixiao, Ouyang, Ningwei, Liu, Jianan, Man, Ka Lok, Cai, Xiaohao, Xu, Ming, Smith, Jeremy, Lim, Eng Gee, Yue, Yutao, Xiong, Hui
Embodied perception is essential for intelligent vehicles and robots in interactive environmental understanding. However, these advancements primarily focus on vision, with limited attention given to using 3D modeling sensors, restricting a comprehen
Externí odkaz:
http://arxiv.org/abs/2405.12821
Autor:
Guan, Runwei, Hu, Rongsheng, Zhou, Zhuhao, Xue, Tianlang, Man, Ka Lok, Smith, Jeremy, Lim, Eng Gee, Ding, Weiping, Yue, Yutao
In reality, images often exhibit multiple degradations, such as rain and fog at night (triple degradations). However, in many cases, individuals may not want to remove all degradations, for instance, a blurry lens revealing a beautiful snowy landscap
Externí odkaz:
http://arxiv.org/abs/2404.10342
Autor:
Guan, Runwei, Jia, Liye, Yang, Fengyufan, Yao, Shanliang, Purwanto, Erick, Zhu, Xiaohui, Lim, Eng Gee, Smith, Jeremy, Man, Ka Lok, Hu, Xuming, Yue, Yutao
The perception of waterways based on human intent is significant for autonomous navigation and operations of Unmanned Surface Vehicles (USVs) in water environments. Inspired by visual grounding, we introduce WaterVG, the first visual grounding datase
Externí odkaz:
http://arxiv.org/abs/2403.12686
Autor:
Guan, Runwei, Zhao, Haocheng, Yao, Shanliang, Man, Ka Lok, Zhu, Xiaohui, Yu, Limin, Yue, Yong, Smith, Jeremy, Lim, Eng Gee, Ding, Weiping, Yue, Yutao
Urban water-surface robust perception serves as the foundation for intelligent monitoring of aquatic environments and the autonomous navigation and operation of unmanned vessels, especially in the context of waterway safety. It is worth noting that c
Externí odkaz:
http://arxiv.org/abs/2312.08851
Autor:
Yao, Shanliang, Guan, Runwei, Peng, Zitian, Xu, Chenhang, Shi, Yilu, Ding, Weiping, Lim, Eng Gee, Yue, Yong, Seo, Hyungjoon, Man, Ka Lok, Ma, Jieming, Zhu, Xiaohui, Yue, Yutao
With the rapid advancements of sensor technology and deep learning, autonomous driving systems are providing safe and efficient access to intelligent vehicles as well as intelligent transportation. Among these equipped sensors, the radar sensor plays
Externí odkaz:
http://arxiv.org/abs/2312.04861
Autor:
Guan, Runwei, Yao, Shanliang, Zhu, Xiaohui, Man, Ka Lok, Yue, Yong, Smith, Jeremy, Lim, Eng Gee, Yue, Yutao
Panoptic Driving Perception (PDP) is critical for the autonomous navigation of Unmanned Surface Vehicles (USVs). A PDP model typically integrates multiple tasks, necessitating the simultaneous and robust execution of various perception tasks to facil
Externí odkaz:
http://arxiv.org/abs/2308.10287
Autor:
Guan, Runwei, Yao, Shanliang, Zhu, Xiaohui, Man, Ka Lok, Lim, Eng Gee, Smith, Jeremy, Yue, Yong, Yue, Yutao
Current perception models for different tasks usually exist in modular forms on Unmanned Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causing the asynchrony between perception results and USV position, and leadin
Externí odkaz:
http://arxiv.org/abs/2307.07102
Autor:
Yao, Shanliang, Guan, Runwei, Wu, Zhaodong, Ni, Yi, Huang, Zile, Liu, Ryan Wen, Yue, Yong, Ding, Weiping, Lim, Eng Gee, Seo, Hyungjoon, Man, Ka Lok, Ma, Jieming, Zhu, Xiaohui, Yue, Yutao
Autonomous driving on water surfaces plays an essential role in executing hazardous and time-consuming missions, such as maritime surveillance, survivors rescue, environmental monitoring, hydrography mapping and waste cleaning. This work presents Wat
Externí odkaz:
http://arxiv.org/abs/2307.06505