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检索条件"机构=National Engineering Reseach Center for Robot Visual Perception and Control Technology"
201 条 记 录,以下是151-160 订阅
排序:
Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers
Towards Precise 3D Human Pose Estimation with Multi-Perspect...
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International Joint Conference on Neural Networks (IJCNN)
作者: Jianbin Jiao Xina Cheng Weijie Chen Xiaoting Yin Hao Shi Kailun Yang School of Artificial Intelligence Xidian University China State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang University China School of Robotics Hunan University China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University China
3D human pose estimation captures the human joint points in three-dimensional space while keeping the depth information and physical structure. That is essential for applications that require precise pose information,... 详细信息
来源: 评论
SF-TIM: A Simple Framework for Enhancing Quadrupedal robot Jumping Agility by Combining Terrain Imagination and Measurement
arXiv
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arXiv 2024年
作者: Wang, Ze Li, Yang Xu, Long Shi, Hao Ma, Zunwang Chu, Zhen Li, Chao Gao, Fei Yang, Kailun Wang, Kaiwei State Key Laboratory of Modern Optical Instrumentation Zhejiang University China School of Robotics and National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University China State Key Laboratory of Industrial Control Technology Zhejiang University China DeepRobotics Co. Ltd. China
Dynamic jumping on high platforms and over gaps differentiates legged robots from wheeled counterparts. Compared to walking on rough terrains, dynamic locomotion on abrupt surfaces requires fusing proprioceptive and e... 详细信息
来源: 评论
Exploring Quasi-Global Solutions to Compound Lens Based Computational Imaging Systems
arXiv
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arXiv 2024年
作者: Gao, Yao Jiang, Qi Gao, Shaohua Sun, Lei Yang, Kailun Wang, Kaiwei State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang University Hangzhou310027 China School of Robotics Hunan University Changsha410012 China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Changsha410082 China
Recently, joint design approaches that simultaneously optimize optical systems and downstream algorithms through data-driven learning have demonstrated superior performance over traditional separate design approaches.... 详细信息
来源: 评论
Towards Source-Free Domain Adaptive Semantic Segmentation Via Importance-Aware and Prototype-Contrast Learning
IEEE Transactions on Intelligent Vehicles
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IEEE Transactions on Intelligent Vehicles 2024年 1-13页
作者: Cao, Yihong Zhang, Hui Lu, Xiao Xiao, Zheng Yang, Kailun Wang, Yaonan College of Computer Science and Electronic Engineering Hunan University Changsha China National Engineering Research Center of Robot Vision Perception and Control Technology School of Robotics Hunan University Changsha China College of Engineering and Design Hunan Normal University Changsha China
Domain adaptive semantic segmentation enables robust pixel- wise understanding in real-world driving scenes. Source-free domain adaptation, as a more practical technique, addresses the concerns of data privacy and sto... 详细信息
来源: 评论
Learning to Learn Transferable Generative Attack for Person Re-Identification
arXiv
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arXiv 2024年
作者: Bian, Yuan Liu, Min Wang, Xueping Ma, Yunfeng Wang, Yaonan The College of Electrical and Information Engineering Hunan University National Engineering Research Center of Robot Visual Perception and Control Technology Hunan Changsha China The College of Information Science and Engineering Hunan Normal University Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Changsha China
Deep learning-based person re-identification (re-id) models are widely employed in surveillance systems and inevitably inherit the vulnerability of deep networks to adversarial attacks. Existing attacks merely conside... 详细信息
来源: 评论
AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation
arXiv
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arXiv 2023年
作者: Lin, Jiacheng Chen, Jiajun Yang, Kailun Roitberg, Alina Li, Siyu Li, Zhiyong Li, Shutao The College of Computer Science and Electronic Engineering Hunan University Changsha410082 China The School of Robotics The National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Changsha410082 China The Institute for Artificial Intelligence The University of Stuttgart Stuttgart70569 Germany The College of Electrical and Information Engineering The Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province Hunan University Changsha410082 China
Interactive Image Segmentation (IIS) has emerged as a promising technique for decreasing annotation time. Substantial progress has been made in pre- and post-processing for IIS, but the critical issue of interaction a... 详细信息
来源: 评论
Reinforcement Learning-based Fault-Tolerant control for Unmanned Aerial Vehicles
Reinforcement Learning-based Fault-Tolerant Control for Unma...
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Youth Academic Annual Conference of Chinese Association of Automation (YAC)
作者: Guoqi Wang Xudong Wang Yang Li Ziwei Gao Zhaoke Ning National Engineering Research Center of Robot Visual Perception and Control Technology School of Robotics Hunan University Changsha China State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha China School of Aeronautics and Astronautics Sichuan University Chengdu China
This paper focuses on the fault-tolerant control (FTC) problem for unmanned aerial vehicles (UAVs) subject to possible multiple actuator failures, which is a tough problem to solve with traditional FTC methods since t... 详细信息
来源: 评论
Online Parameter Estimation For Uncertain robot Manipulators With Fixed-time Convergence
Online Parameter Estimation For Uncertain Robot Manipulators...
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IEEE Conference on Industrial Electronics and Applications (ICIEA)
作者: Chengzhi Zhu Yiming Jiang Chenguang Yang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou China National Engineering Laboratory for Robot Visual Perception and Control Hunan University Changsha China Bristol Robotics Laboratory University of the West of England Bristol UK
For traditional parameter estimation schemes of uncertain robot, most of them were proposed to identify unknown parameter with desired precision, but few of them focused on the convergence time. Recently finite-time e... 详细信息
来源: 评论
Stiffness Estimation and Intention Detection for Human-robot Collaboration
Stiffness Estimation and Intention Detection for Human-Robot...
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IEEE Conference on Industrial Electronics and Applications (ICIEA)
作者: Xiongjun Chen Yiming Jiang Chenguang Yang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou China National Engineering Laboratory for Robot Visual Perception and Control Hunan University Changsha China Bristol Robotics Laboratory University of the West of England Bristol UK
In this paper, we propose a stiffness estimation and intention detection method for human-robot collaboration. The human arm endpoint stiffness can be obtained according to the muscle activation levels of the upper ar... 详细信息
来源: 评论
Large Scale Unsupervised Brain MRI Image Registration Solution for Learn2Reg 2024
arXiv
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arXiv 2024年
作者: Zhang, Yuxi Chen, Xiang Wang, Jiazheng Liu, Min Wang, Yaonan Liu, Dongdong Hu, Renjiu Zhang, Hang College of Electrical and Information Engineering Hunan University Hunan Changsha China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Hunan Changsha China New York University New York United States Cornell University New York United States
In this paper, we summarize the methods and experimental results we proposed for Task 2 in the learn2reg 2024 Challenge. This task focuses on unsupervised registration of anatomical structures in brain MRI images betw... 详细信息
来源: 评论