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检索条件"机构=Shenzhen Key Laboratory of Robotics and Computer Vision"
497 条 记 录,以下是151-160 订阅
排序:
NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection
arXiv
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arXiv 2022年
作者: Zhou, Ruihao He, Li Zhang, Hong Lin, Xubin Guan, Yisheng The Department of Electromechanical Engineering Guangdong University of Technology China The Department of Electronic and Electrical Engineering Southern University of Science and Technology China Shenzhen Key Laboratory of Robotics and Computer Vision China
Loop closure detection is a key technology for long-term robot navigation in complex environments. In this paper, we present a global descriptor, named Normal Distribution Descriptor (NDD), for 3D point cloud loop clo... 详细信息
来源: 评论
UNIFORMER: UNIFIED TRANSFORMER FOR EFFICIENT SPATIOTEMPORAL REPRESENTATION LEARNING  10
UNIFORMER: UNIFIED TRANSFORMER FOR EFFICIENT SPATIOTEMPORAL ...
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10th International Conference on Learning Representations, ICLR 2022
作者: Li, Kunchang Wang, Yali Gao, Peng Song, Guanglu Liu, Yu Li, Hongsheng Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Shanghai AI Laboratory Shanghai China SenseTime Research The Chinese University of Hong Kong Hong Kong
It is a challenging task to learn rich and multi-scale spatiotemporal semantics from high-dimensional videos, due to large local redundancy and complex global dependency between video frames. The recent advances in th... 详细信息
来源: 评论
Fast Candidate Region Extraction for SAR Ship Target  37
Fast Candidate Region Extraction for SAR Ship Target
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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022
作者: Zhang, Panpan Luo, Haibo Xu, Zheng He, Miao Shenyang Institute of Automation Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Opto-Electronic Information Processing Shenyang110016 China The Key Lab of Image Understanding and Computer Vision Shenyang110016 China
At present, deep learning technology is widely used in ship target detection in synthetic aperture radar (SAR) images. However, high-resolution remote sensing SAR images cover a larger area and have larger image sizes... 详细信息
来源: 评论
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
PoseFormerV2: Exploring Frequency Domain for Efficient and R...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: Qitao Zhao Ce Zheng Mengyuan Liu Pichao Wang Chen Chen Shandong University Key Laboratory of Machine Perception Peking University Shenzhen Graduate School Amazon Prime Video Center for Research in Computer Vision University of Central Florida
Recently, transformer-based methods have gained significant success in sequential 2D-to-3D lifting human pose estimation. As a pioneering work, PoseFormer captures spatial relations of human joints in each video frame...
来源: 评论
Which One is Better? Self-supervised Temporal Coherence Learning for Skeleton Based Action Recognition
Which One is Better? Self-supervised Temporal Coherence Lear...
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IEEE International Joint Conference on Biometrics (IJCB)
作者: Bizhu Wu Mingyan Wu Haoqin Ji Linlin Shen Computer Vision Institute College of Computer Science and Software Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University China
Recently, researchers have achieved significant results in the skeleton based action recognition task. To better model the skeleton sequences, existing methods learned the feature representations in the self-supervise... 详细信息
来源: 评论
ODD: Omni Differential Drive for Simultaneous Reconfiguration and Omnidirectional Mobility of Wheeled Robots
arXiv
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arXiv 2024年
作者: Zhao, Ziqi Xie, Peijia Meng, Max Q.-H. Shenzhen Key Laboratory of Robotics Perception and Intelligence The Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China The Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong The Department of Electrical and Computer Engineering The University of Alberta Canada
Wheeled robots are highly efficient in human living environments. However, conventional wheeled designs, with their limited degrees of freedom and constraints in robot configuration, struggle to simultaneously achieve... 详细信息
来源: 评论
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency
MM-3DScene: 3D Scene Understanding by Customizing Masked Mod...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: Mingye Xu Mutian Xu Tong He Wanli Ouyang Yali Wang Xiaoguang Han Yu Qiao The Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen China University of Chinese Academy of Sciences Shanghai Artificial Intelligence Laboratory SSE CUHKSZ FNii CUHKSZ
Masked Modeling (MM) has demonstrated widespread success in various vision challenges, by reconstructing masked visual patches. Yet, applying MM for large-scale 3D scenes remains an open problem due to the data sparsi...
来源: 评论
ODD: Omni Differential Drive for Simultaneous Reconfiguration and Omnidirectional Mobility of Wheeled Robots
arXiv
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arXiv 2024年
作者: Zhao, Ziqi Xie, Peijia Meng, Max Q.-H. Shenzhen Key Laboratory of Robotics Perception and Intelligence The Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong Department of Electrical and Computer Engineering The University of Alberta Canada
Wheeled robots are highly efficient in human living environments. However, conventional wheeled designs, limited by degrees of freedom, struggle to meet varying footprint needs and achieve omnidirectional mobility. Th... 详细信息
来源: 评论
COLLABORATIVE AUTO-ENCODING FOR BLIND IMAGE QUALITY ASSESSMENT
arXiv
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arXiv 2023年
作者: Zhou, Zehong Zhou, Fei Qiu, Guoping College of Electronic and Information Engineering Shenzhen University Shenzhen China Peng Cheng Laboratory Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen China Shenzhen Institute for Artificial Intelligence and Robotics for Society Shenzhen China School of Computer Science University of Nottingham Nottingham United Kingdom Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication Shenzhen China
Blind image quality assessment (BIQA) is a challenging problem with important real-world applications. Recent efforts attempting to exploit powerful representations by deep neural networks (DNN) are hindered by the la... 详细信息
来源: 评论
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection
arXiv
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arXiv 2023年
作者: Huang, Mouxiao Qiao, Yu The Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China
Out-of-distribution (OOD) detection is critical for preventing deep learning models from making incorrect predictions to ensure the safety of artificial intelligence systems. Especially in safety-critical applications... 详细信息
来源: 评论