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检索条件"机构=Key Lab Large Model Embodied Intelligent Humanoid"
10 条 记 录,以下是1-10 订阅
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RED-SLAM: real-time and effective RGB-D SLAM with spatial-geometric observations and fast semantic perception for dynamic environments
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MEASUREMENT SCIENCE AND TECHNOLOGY 2025年 第3期36卷 036303-036303页
作者: Liu, Hailin Tian, Lianfang Du, Qiliang Duan, Ruxiang South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Peoples R China Guangdong Engn Res Ctr Cloud Edge End Collaborat T Guangzhou 510640 Peoples R China Key Lab Large Model Embodied Intelligent Humanoid Guangzhou 510640 Peoples R China
Most visual simultaneous localization and mapping (vSLAM) methods assume a static scene, limiting their effectiveness in complex, real-world dynamic environments. This paper presents RED-SLAM-a real-time dynamic visua... 详细信息
来源: 评论
Image debanding using cross-scale invertible networks with banded deformable convolutions
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NEURAL NETWORKS 2025年 187卷 107270页
作者: Quan, Yuhui He, Xuyi Xu, Ruotao Xu, Yong Ji, Hui South China Univ Technol Sch Comp Sci & Engn Guangzhou 510006 Peoples R China South China Univ Technol Inst Super Robot Guangzhou Peoples R China Key Lab Large Model Embodied Intelligent Humanoid Guangzhou Peoples R China Peng Cheng Lab Shenzhen Peoples R China Guangdong Prov Key Lab Multimodal Big Data Intelli Guangzhou Peoples R China Natl Univ Singapore Dept Math Singapore Singapore
Banding artifacts in images stem from limitations in color bit depth, image compression, or over-editing, significantly degrades image quality, especially in regions with smooth gradients. Image debanding is about eli... 详细信息
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Double center swarm exploring varying parameter neurodynamic network for non-convex nonlinear programming
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NEUROCOMPUTING 2025年 619卷
作者: Zhang, Zhijun Zhu, Minghao Ren, Xiaohui South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Peoples R China South China Univ Technol Key Lab Large Model Embodied Intelligent Humanoid Guangzhou 510640 Peoples R China Guangdong Artificial Intelligence & Digital Econ L Pazhou Lab Guangzhou 510335 Peoples R China Shaanxi Univ Technol Sch Mech Engn Hanzhong 723001 Peoples R China Changsha Normal Univ Sch Informat Sci & Engn Changsha 410100 Peoples R China Guangdong Univ Petrochem Technol Sch Automat Sci & Engn Maoming 525000 Peoples R China Jishou Univ Coll Comp Sci & Engn Jishou 416000 Peoples R China
To solve non-convex nonlinear programming problems, a double center swarm exploring varying parameter neurodynamic network (DCSE-VPNN) is proposed and analyzed. Firstly, a varying parameter neurodynamic network is pro... 详细信息
来源: 评论
An adaptive variable-parameter dynamic learning network for solving constrained time-varying QP problem
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NEURAL NETWORKS 2025年 184卷 106968页
作者: Zhang, Zhijun Sun, Xiangliang Li, Xingru Liu, Yiqi South China Univ Technol Sch Automat Sci & Engn Guangzhou Peoples R China Minist Educ Key Lib Autonomous Syst & Network Control Guangzhou Peoples R China Nanchang Univ Jiangxi Thousand Talents Plan Nanchang Peoples R China Jishou Univ Coll Comp Sci & Engn Jishou Peoples R China Guangdong Artificial Intelligence & Digital Econ Pazhou Lab Guangzhou Peoples R China Shaanxi Univ Technol Sch Mech Engn Shaanxi Prov Key Lab Ind Automat Hanzhong Peoples R China Changsha Normal Univ Sch Informat Sci & Engn Changsha Peoples R China Guangdong Univ Petrochem Technol Sch Automat Sci & Engn Maoming Peoples R China Guangdong Univ Petrochem Technol Inst Artificial Intelligence & Automat Maoming Peoples R China Key Lab Large Model Embodied Intelligent Humanoid Beijing Peoples R China
To efficiently solve the time-varying convex quadratic programming (TVCQP) problem under equational constraint, an adaptive variable-parameter dynamic learning network (AVDLN) is proposed and analyzed. Being different... 详细信息
来源: 评论
VPT: Video portraits transformer for realistic talking face generation
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NEURAL NETWORKS 2025年 184卷 107122页
作者: Zhang, Zhijun Zhang, Jian Mai, Weijian South China Univ Technol Sch Automat Sci & Engn Guangzhou Peoples R China Minist Educ Key Lib Autonomous Syst & Network Control Beijing Peoples R China Nanchang Univ Jiangxi Thousand Talents Plan Nanchang Jiangxi Peoples R China Jishou Univ Coll Comp Sci & Engn Jishou Peoples R China Pazhou Lab Guangdong Artificial Intelligence & Digital Econ Guangzhou Peoples R China Shaanxi Univ Technol Sch Mech Engn Shaanxi Prov Key Lab Ind Automat Hanzhong Peoples R China Changsha Normal Univ Sch Informat Sci & Engn Changsha Peoples R China Guangdong Univ Petrochem Technol Sch Automat Sci & Engn Maoming Peoples R China Guangdong Univ Petrochem Technol Inst Artificial Intelligence & Automat Maoming Peoples R China Key Lab Large Model Embodied Intelligent Humanoid Guangzhou Peoples R China Inst Super Robot Huangpu Guangzhou Peoples R China
Talking face generation is a promising approach within various domains, such as digital assistants, video editing, and virtual video conferences. Previous works with audio-driven talking faces focused primarily on the... 详细信息
来源: 评论
Mobile Robot Navigation Using ORB-SLAM3: A Multi-Modal Autonomous System
Mobile Robot Navigation Using ORB-SLAM3: A Multi-Modal Auton...
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Electrical Automation and Artificial Intelligence (ICEAAI), International Conference on
作者: Ariano Da Conceicao Lianfang Tian Qiliang Du Ling Yuan School of Automation Science and Engineering South China University of Technology Guangzhou China Research Institute of Modern Industrial Innovation South China University of Technology Guangzhou China Guangdong Engineering Research Center of Cloud-Edge-End Collaboration Technology for Smart City Guangzhou China Key Laboratory of Autonomous Systems and Network Control of Ministry of Education Guangzhou China Key Laboratory of Large-Model Embodied-Intelligent Humanoid Robot (2024KSYS004) Guangzhou China Sino-Singapore International Joint Research Institute Guangzhou China
Indoor mobile robots require reliable solutions for mapping, localization, and navigation tasks. This paper presents a mobile robot system that implements the ability to realize mapping using visual SLAM with ORB-SLAM... 详细信息
来源: 评论
Multi-Resolution Convolution for 3D Semantic Segmentation
Multi-Resolution Convolution for 3D Semantic Segmentation
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2024 International Conference on intelligent Robotics and Automatic Control
作者: Li, Qihui Tian, Lianfang Du, Qiliang Xie, Yuhang South China Univ Technol Sch Automat Sci & Engn Guangzhou Peoples R China Guangdong Engn Res Ctr Cloud Edge End Collaborat Guangzhou Peoples R China Key Lab Large Model Embodied Intelligent Humanoid Guangzhou Peoples R China
Effective capture of multi-scale features is crucial for improving performance in 3D point cloud semantic segmentation tasks. This paper introduces a novel framework that enhances the extraction of semantic informatio... 详细信息
来源: 评论
Tightly-coupled Lidar-Visual-Inertial SLAM for Mobile Robot
Tightly-coupled Lidar-Visual-Inertial SLAM for Mobile Robot
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Image Processing, Computer Vision and Machine Learning (ICICML), International Conference on
作者: Qiliang Du Bojie Chen Lianfang Tian Ling Yuan School of Automation Science and Engineering South China University of Technology Key Laboratory of Large-Model Embodied-Intelligent Humanoid Robot (2024KSYS004) Guangzhou China School of Automation Science and Engineering South China University of Technology Guangzhou China Guangdong Engineering Research Center of Cloud-Edge-End Collaboration Technology for Smart City Guangzhou China
Simultaneous Localization and Mapping (SLAM) enables robots to perform localization and mapping in unknown environments. Currently, mainstream single-sensor Lidar SLAM (Visual SLAM) tends to diverge and fail when face... 详细信息
来源: 评论
Multi-Resolution Convolution for 3D Semantic Segmentation
Multi-Resolution Convolution for 3D Semantic Segmentation
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intelligent Robotics and Automatic Control (IRAC), International Conference on
作者: Qihui Li Lianfang Tian Qiliang Du Yuhang Xie School of Automation Science and Engineering South China University of Technology Guangzhou China School of Automation Science and Engineering South China University of Technology Guangdong Engineering Research Center of Cloud-Edge-End Collaboration Technology for Smart City Guangzhou China School of Automation Science and Engineering South China University of Technology Key Laboratory of Large-Model Embodied-Intelligent Humanoid Robot (2024KSYS004) Guangzhou China
Effective capture of multi-scale features is crucial for improving performance in 3D point cloud semantic segmentation tasks. This paper introduces a novel framework that enhances the extraction of semantic informatio... 详细信息
来源: 评论
Detection of key Components of Transmission Lines Based on the Improved YOLOv8
Detection of Key Components of Transmission Lines Based on t...
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Image Processing, Computer Vision and Machine Learning (ICICML), International Conference on
作者: Yuhang Xie Lianfang Tian Qiliang Du Ling Yuan School of Automation Science and Engineering South China University of Technology Guangzhou China School of Automation Science and Engineering South China University of Technology Guangdong Engineering Research Center of Cloud-Edge-End Collaboration Technology for Smart City Guangzhou China School of Automation Science and Engineering South China University of Technology Key Laboratory of Large-Model Embodied-Intelligent Humanoid Robot (2024KSYS004) Guangzhou China
The detection of key components in transmission lines faces challenges such as significant variations in object scales, complex backgrounds, and difficulties in detecting small targets, leading to low detection accura... 详细信息
来源: 评论