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检索条件"机构=Computer Vision and Robotics Research Laboratory"
233 条 记 录,以下是1-10 订阅
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A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation  37
A Single 2D Pose with Context is Worth Hundreds for 3D Human...
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37th Conference on Neural Information Processing Systems, NeurIPS 2023
作者: Zhao, Qitao Zheng, Ce Liu, Mengyuan Chen, Chen Robotics Institute Carnegie Mellon University United States Center for Research in Computer Vision University of Central Florida United States Key Laboratory of Machine Perception Peking University Shenzhen Graduate School China
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs perf...
来源: 评论
Complexity based investigation in collaborative assembly scenarios via non intrusive techniques  4
Complexity based investigation in collaborative assembly sce...
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4th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2022
作者: Panagou, Sotirios Sileo, Monica Papoutsakis, Konstantinos Fruggiero, Fabio Qammaz, Ammar Argyros, Antonis School of Engineering University of Basilicata Potenza85100 Italy Computational Vision and Robotics Laboratory Institute of Computer Science Foundation for Research and Technology - Hellas Heraklion70013 Greece
Human and robot collaboration in assembly tasks is an integral part in modern manufactories. Robots provide advantages in both process and productivity with their repeatability and usability in different tasks, while ... 详细信息
来源: 评论
Complexity based investigation in collaborative assembly scenarios via non intrusive techniques
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Procedia computer Science 2023年 217卷 478-485页
作者: Sotirios Panagou Monica Sileo Konstantinos Papoutsakis Fabio Fruggiero Ammar Qammaz Antonis Argyros School of Engineering University of Basilicata 85100 Potenza Italy Computational Vision and Robotics Laboratory Institute of Computer Science Foundation for Research and Technology – Hellas 70013 Heraklion Greece
Human and robot collaboration in assembly tasks is an integral part in modern manufactories. Robots provide advantages in both process and productivity with their repeatability and usability in different tasks, while ... 详细信息
来源: 评论
A single 2D pose with context is worth hundreds for 3D human pose estimation  23
A single 2D pose with context is worth hundreds for 3D human...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Qitao Zhao Ce Zheng Mengyuan Liu Chen Chen Robotics Institute Carnegie Mellon University Center for Research in Computer Vision University of Central Florida Key Laboratory of Machine Perception Peking University Shenzhen Graduate School
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs perf...
来源: 评论
HPPS: A Hierarchical Progressive Perception System for Luggage Trolley Detection and Localization at Airports
arXiv
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arXiv 2024年
作者: Sun, Zhirui Zhang, Zhe Zhao, Jieting Ye, Hanjing Wang, Jiankun Shenzhen Key Laboratory of Robotics Perception and Intelligence Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China Jiaxing Research Institute Southern University of Science and Technology Jiaxing China Shenzhen Key Laboratory of Robotics and Computer Vision Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China
The robotic autonomous luggage trolley collection system employs robots to gather and transport scattered luggage trolleys at airports. However, existing methods for detecting and locating these luggage trolleys often... 详细信息
来源: 评论
An Experimental Study of Keypoint Descriptor Fusion
An Experimental Study of Keypoint Descriptor Fusion
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IEEE International Conference on robotics and Biomimetics
作者: Yaling Pan Li He Yisheng Guan Hong Zhang Biomimetic Intelligent Robotics Research Laboratory (BIRL) Guangdong University of Technology Guangzhou China Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen China
Local feature descriptors play a crucial role in computer vision problems, especially robot motion. Existing descriptors are highly accurate, but their performance de-pends on the influence of distracting factors, suc... 详细信息
来源: 评论
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
arXiv
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arXiv 2024年
作者: Lin, Qinliang Luo, Cheng Niu, Zenghao He, Xilin Xie, Weicheng Hou, Yuanbo Shen, Linlin Song, Siyang Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China Guangdong Key Laboratory of Intelligent Information Processing China WAVES Research Group Ghent University Belgium University of Leicester United Kingdom
Adversarial examples generated by a surrogate model typically exhibit limited transferability to unknown target systems. To address this problem, many transferability enhancement approaches (e.g., input transformation... 详细信息
来源: 评论
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
arXiv
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arXiv 2023年
作者: Zhao, Qitao Zheng, Ce Liu, Mengyuan Chen, Chen Robotics Institute Carnegie Mellon University United States Center for Research in Computer Vision University of Central Florida United States Key Laboratory of Machine Perception Peking University Shenzhen Graduate School China
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs perf... 详细信息
来源: 评论
Edge-guided Representation Learning for Underwater Object Detection
arXiv
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arXiv 2023年
作者: Dai, Linhui Liu, Hong Song, Pinhao Tang, Hao Ding, Runwei Li, Shengquan Key Laboratory of Machine Perception Shenzhen Graduate School Peking University Shenzhen China Robotics Research Group KU Leuven Leuven Belgium Computer Vision Lab ETH Zurich Zurich Switzerland Peng Cheng Laboratory Shenzhen China
Underwater object detection (UOD) is crucial for marine economic development, environmental protection, and the planet’s sustainable development. The main challenges of this task arise from low-contrast, small object... 详细信息
来源: 评论
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
arXiv
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arXiv 2023年
作者: Dhiaf, Marwa Souibgui, Mohamed Ali Wang, Kai Liu, Yuyang Kessentini, Yousri Fornés, Alicia Rouhou, Ahmed Cheikh InstaDeep United Kingdom Computer Vision Center UAB Spain Digital Research Center of Sfax SM@RTS Tunisia State Key Laboratory of Robotics China Shenyang Institute of Automation Chinese Academy of Sciences China
Self-supervised learning has recently emerged as a strong alternative in document analysis. These approaches are now capable of learning high-quality image representations and overcoming the limitations of supervised ... 详细信息
来源: 评论