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检索条件"机构=Robotics and Computer Technology Lab"
467 条 记 录,以下是221-230 订阅
排序:
Perceptive self-supervised learning network for noisy image watermark removal
arXiv
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arXiv 2024年
作者: Tian, Chunwei Zheng, Menghua Li, Bo Zhang, Yanning Zhang, Shichao Zhang, David School of Software Northwestern Polytechnical University Xi’an710129 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Xi’an710129 China School of Electronics and Information Northwestern Polytechnical University Xi’an710129 China School of Computer Science Northwestern Polytechnical University National Engineering Laboratory for Integrated AeroSpace-Ground-Ocean Big Data Application Technology Xi’an710129 China Guangxi Key Lab of Multisource Information Mining & Security College of Computer Science & Engineering Guangxi Normal University Guilin541004 China Shenzhen518172 China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518172 China
Popular methods usually use a degradation model in a supervised way to learn a watermark removal model. However, it is true that reference images are difficult to obtain in the real world, as well as collected images ... 详细信息
来源: 评论
Light Radiation Simulation of Micro-LED Array for the Optical Neural Interface Targeted Cerebral Cortex in Rhesus Monkey
Light Radiation Simulation of Micro-LED Array for the Optica...
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International Winter Workshop on Brain-computer Interface (BCI)
作者: Lusheng Liu Wenlei Zhang Bo Wen Minjie Wang Aiping Wang Jing Zhang Yuan Zhang Song Le Haifeng Jiang Rongwei Zhai Lihua Zhang Xiaoyang Kang Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of AI & Robotics Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of AI & Robotics Ministry of Education Institute of Meta-Medical Academy for Engineering & Technology Fudan University Shanghai China Ji Hua Laboratory Foshan Guangdong Province China Yiwu Research Institute of Fudan University Chengbei Road Yiwu City Zhejiang China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou China Shanghai Mental Health Center Shanghai China Jiao Tong University School of Medicine Shanghai China Lingang Laboratory Shanghai China
The advanced technology of optogenetics has greatly promoted the development of neuroscience. To further optimize the optical neural interface, understanding the propagation process of light in neural tissues is essen... 详细信息
来源: 评论
Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition  16th
Attention-Driven Dynamic Graph Convolutional Network for Mul...
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16th European Conference on computer Vision, ECCV 2020
作者: Ye, Jin He, Junjun Peng, Xiaojiang Wu, Wenhao Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China School of Biomedical Engineering the Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China
Recent studies often exploit Graph Convolutional Network (GCN) to model label dependencies to improve recognition accuracy for multi-label image recognition. However, constructing a graph by counting the label co-occu... 详细信息
来源: 评论
A Channel Selection Method for Motor Imagery EEG Based on Fisher Score of OVR-CSP
A Channel Selection Method for Motor Imagery EEG Based on Fi...
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International Winter Workshop on Brain-computer Interface (BCI)
作者: Wei Mu Junkongshuai Wang Lu Wang Pengchao Wang Jiaguan Han Lan Niu Jianxiong Bin Lusheng Liu Jing Zhang Jie Jia Lihua Zhang Xiaoyang Kang Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of AI & Robotics Laboratory for Neural Interface and Brain Computer Interface Institute of Meta-Medical Academy for Engineering & Technology Fudan University Shanghai China Ji Hua Laboratory Foshan Guangdong Province China Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai China Yiwu Research Institute of Fudan University Chengbei Road Yiwu City Zhejiang China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou China
EEG is widely used in the field of brain computer interfaces. It has the advantages of being non-invasive, easy acquisition, and so on. However, multi-channel EEG signals will bring noise interference and redundant in... 详细信息
来源: 评论
PanoFlow: Learning 360◦ Optical Flow for Surrounding Temporal Understanding
arXiv
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arXiv 2022年
作者: Shi, Hao Zhou, Yifan Yang, Kailun Yin, Xiaoting Wang, Ze Ye, Yaozu Yin, Zhe Meng, Shi Li, Peng Wang, Kaiwei State Key Laboratory of Modern Optical Instrumentation Zhejiang University Hangzhou310027 China Multimedia Laboratory Nanyang Technological University 61 Nanyang Dr Singapore637335 Singapore Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe76131 Germany College of Computer Science and Technology Zhejiang University Hangzhou310027 China Data Intelligence Lab Luokung Technology Corp. Beijing100020 China
Optical flow estimation is a basic task in self-driving and robotics systems, which enables to temporally interpret traffic scenes. Autonomous vehicles clearly benefit from the ultra-wide Field of View (FoV) offered b... 详细信息
来源: 评论
Towards efficient human-robot cooperation for socially-aware robot navigation in human-populated environments: the SNAPE framework
Towards efficient human-robot cooperation for socially-aware...
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IEEE International Conference on robotics and Automation (ICRA)
作者: A. Vega-Magro R. Gondkar L.J. Manso P. Núñez Robotics and Artificial Vision Lab. RoboLab Group University of Extremadura Spain Pune Institute of Computer Technology Pune University India College of Engineering and Physical Sciences Aston University Birmingham UK
It is widely accepted that in the future, robots will cooperate with humans in everyday tasks. Robots interacting with humans will require social awareness when performing their tasks which will require navigation. Wh... 详细信息
来源: 评论
How to Model Brushless Electric Motors for the Design of Lightweight Robotic Systems
arXiv
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arXiv 2023年
作者: Lee, Ung Hee Shepherd, Tor Kim, Sangbae De, Avik Su, Hao Gregg, Robert Mooney, Luke Rouse, Elliott Neurobionics Lab. University of Michigan Ann ArborMI48109 United States Department of Mechanical Engineering University of Michigan United States The Robotics Institute University of Michigan United States Department of Mechanical Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States Lab of Biomechatronics and Intelligent Robotics Department of Mechanical Engineering and Aerospace Engineering North Carolina State University RaleighNC27695 United States Department of Electrical Engineering and Computer Science University of Michigan United States Dephy Inc. MaynardMA01754 United States
A key step in the development of lightweight, high performance robotic systems is the modeling and selection of permanent magnet brushless direct current (BLDC) electric motors. Typical modeling analyses are completed... 详细信息
来源: 评论
Dynamic movement primitives in robotics: A tutorial survey
arXiv
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arXiv 2021年
作者: Saveriano, Matteo Abu-Dakka, Fares J. Kramberger, Aljaž Peternel, Luka Department of Computer Science Digital Science Center University of Innsbruck Innsbruck Austria Aalto University Espoo Finland SDU Robotics Maersk McKinney Moller Institute University of Southern Denmark Odense Denmark Delft Haptics Lab Department of Cognitive Robotics Delft University of Technology Delft Netherlands
Biological systems, including human beings, have the innate ability to perform complex tasks in versatile and agile manner. Researchers in sensorimotor control have tried to understand and formally define this innate ... 详细信息
来源: 评论
Image-Based Trajectory Tracking through Unknown Environments without Absolute Positioning
arXiv
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arXiv 2021年
作者: Feng, Shiyu Wu, Zixuan Zhao, Yipu Vela, Patricio A. The School of Mechanical Engineering The School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30308 United States The School of Electrical and Computer Engineering The Institute for Robotics and Intelligent Machines Georgia Institute of Technology AtlantaGA30308 United States Meta Reality Lab Redmond United States
This paper describes a stereo image-based visual servoing system for trajectory tracking by a non-holonomic robot without externally derived pose information nor a known visual map of the environment. It is called tra... 详细信息
来源: 评论
A general framework for lifelong localization and mapping in changing environment
arXiv
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arXiv 2021年
作者: Zhao, Min Guo, Xin Song, Le Qin, Baoxing Shi, Xuesong Lee, Gim Hee Sun, Guanghui Gaussian Robotics Shanghai China Intel Labs China Beijing China Computer Vision and Robotic Perception Lab Department of Computer Science School of Computing National University of Singapore Singapore Singapore Department of Control Science and Engineering Harbin Institute of Technology China
The environment of most real-world scenarios such as malls and supermarkets changes at all times. A prebuilt map that does not account for these changes becomes out-of-date easily. Therefore, it is necessary to have a... 详细信息
来源: 评论