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检索条件"机构=Machine Vision and Intelligence Control Technology Key Laboratory Hefei University"
114 条 记 录,以下是31-40 订阅
排序:
Accuracy characterization of Shack-Hartmann sensor with residual error removal in spherical wavefront calibration
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Light(Advanced Manufacturing) 2023年 第4期4卷 55-65页
作者: Yi He Mingdi Bao Yiwei Chen Hong Ye Jinyu Fan Guohua Shi School of Biomedical Engineering(Suzhou) Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230026China Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of SciencesSuzhou 215163China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China Department of Ophthalmology and Vision Science Eye and ENT HospitalFudan UniversityShanghai 200031China Key Laboratory of Myopia of State Health Ministry and Key Laboratory of Visual Impairment and Restoration of ShanghaiShanghai 200031China
The widely used Shack-Hartmann wavefront sensor(SHWFS)is a wavefront measurement *** measurement accuracy is limited by the reference wavefront used for calibration and also by various residual errors of the sensor **... 详细信息
来源: 评论
Target-Oriented WiFi Sensing for Respiratory Healthcare: from Indiscriminate Perception to In-Area Sensing
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IEEE Network 2024年
作者: Wang, Meng Huang, Jinyang Zhang, Xiang Liu, Zhi Li, Meng Zhao, Peng Yan, Huan Sun, Xiao Dong, Mianxiong Hefei University of Technology Anhui Province Key Laboratory of Affective Computing and Advanced Intelligence Machine School of Computer and Information Hefei230601 China University of Science and Technology of China CAS Key Laboratory of Electromagnetic Space Information Hefei230026 China The University of Electro-Communications Department of Computer and Network Engineering Tokyo1828585 Japan Guizhou Normal University School of Big Data and Computer Science Guiyang550025 China Muroran Institute of Technology Department of Sciences and Informatics 0508585 Japan
Driven by the vision of integrated sensing and communication (ISAC) toward 6G technology, the WiFi-based respiration sensing approach has emerged as a highly competitive candidate for advanced healthcare services. Nev... 详细信息
来源: 评论
Fast Coding Mode Decision for Intra Prediction in VVC SCC
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IEEE Transactions on Broadcasting 2025年 第2期71卷 506-516页
作者: Dayong Wang Weihong Liu Zeyu Zhou Xin Lu Jinhua Liu Hui Guo Ce Zhu Chongqing Key Laboratory on Big Data for Bio Intelligence Chongqing University of Posts and Telecommunications Chongqing China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou University Wuzhou China School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China School of Cybersecurity Chengdu University of Information Technology Chengdu China School of Computer Science and Informatics De Montfort University Leicester U.K. School of Digital Technology Industry Shangrao Normal University Shangrao China Glasgow College and the School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China
Currently, screen content video applications are widely used in our daily lives. As the latest Screen Content Coding (SCC) standard, Versatile Video Coding (VVC) SCC employs a quad-tree plus nested multi-type tree (QT... 详细信息
来源: 评论
Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields
Adaptive Positional Encoding for Bundle-Adjusting Neural Rad...
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International Conference on Computer vision (ICCV)
作者: Zelin Gao Weichen Dai Yu Zhang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province and School of Computer Science Hangzhou Dianzi University Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province
Neural Radiance Fields have shown great potential to synthesize novel views with only a few discrete image observations of the world. However, the requirement of accurate camera parameters to learn scene representatio...
来源: 评论
Diving into underwater: segment anything model guided underwater salient instance segmentation and a large-scale dataset  24
Diving into underwater: segment anything model guided underw...
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Proceedings of the 41st International Conference on machine Learning
作者: Shijie Lian Ziyi Zhang Hua Li Wenjie Li Laurence Tianruo Yang Sam Kwong Runmin Cong Hainan University The Hong Kong University of Science and Technology (Guangzhou) Hainan University and Key Laboratory of New Generation Artificial Intelligence Technology & Its Interdisciplinary Applications (Southeast University) Ministry of Education China Hainan University and Huazhong University of Science and Technology and St. Francis Xavier University LIngnan University School of data science Hong Kong Shandong University School of Control Science and Engineering and Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China
With the breakthrough of large models, Segment Anything Model (SAM) and its extensions have been attempted to apply in diverse tasks of computer vision. Underwater salient instance segmentation is a foundational and v...
来源: 评论
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment
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IEEE Transactions on Neural Networks and Learning Systems 2024年 第6期36卷 10000-10014页
作者: Yiming Tang Wenbin Wu Witold Pedrycz Jianwei Gao Xianghui Hu Zhaohong Deng Rui Chen Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and Information Hefei University of Technology Hefei China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada School of Computer and Information Hefei University of Technology Hefei China Faculty of Automatic Control Electronics and Computer Science Silesian University of Tecghnology Gliwice Poland Research Center of Performance and Productivity Analysis Istinye University Istanbul TÃrkiye School of Computer Science and Engineering Southeast University Nanjing China School of Artificial Intelligence and Computer Jiangnan University Wuxi Jiangsu China
In current granular clustering algorithms, numeric representatives were selected by users or an ordinary strategy, which seemed simple; meanwhile, weight settings for granular data could not adequately express their s... 详细信息
来源: 评论
3D reconstruction of moving object by double sampling based on phase shifting profilometry  9
3D reconstruction of moving object by double sampling based ...
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9th Symposium on Novel Photoelectronic Detection technology and Applications
作者: Zhang, Qinghui Li, Hao Lu, Lei Pan, Wei Su, Zhilong Zhang, Mengya Lv, Pengtao Key Laboratory of Grain Information Processing and Control of Ministry of Education Henan University of Technology Ministry of Education Zhengzhou450001 China College of Information Science and Engineering Henan University of Technology Zhengzhou450001 China Department of R & D OPT Machine Vision Tech Co. Ltd Dongguan523860 China Shanghai Institute of Applied Mathematics and Mechanics School of Mechanics and Engineering Science Shanghai University Shanghai200444 China
When using traditional phase-shift profilometry for 3D measurement, it is necessary to keep the measured object static during the shooting process. When the measured object is moving, errors will occur if the projecti... 详细信息
来源: 评论
Emission Evaluation for Diesel Vehicles Under Typical Operating Conditions
Emission Evaluation for Diesel Vehicles Under Typical Operat...
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International Conference on Advanced Robotics and Mechatronics (ICARM)
作者: Jiaren Li Zhenyi Xu Yang Cao Xiushan Xia Yu Kang AHU-IAI AI Joint Laboratory Anhui University Hefei China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China Department of Automation University of Science and Technology of China Hefei China Institute of Advanced Technology University of Science and Technology of China Hefei China
China‘s ambient air quality has improved significantly as a result of the formulation and implementation of the Action Plan for the Prevention and control of Air Pollution and the Three-Year Action Plan for Winning t...
来源: 评论
UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation
arXiv
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arXiv 2024年
作者: Wang, Xiang Zhang, Shiwei Gao, Changxin Wang, Jiayu Zhou, Xiaoqiang Zhang, Yingya Yan, Luxin Sang, Nong Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Alibaba Group Hangzhou310052 China University of Science and Technology of China Hefei230026 China
Recent diffusion-based human image animation techniques have demonstrated impressive success in synthesizing videos that faithfully follow a given reference identity and a sequence of desired movement poses. Despite t... 详细信息
来源: 评论
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
arXiv
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arXiv 2024年
作者: Lian, Shijie Zhang, Ziyi Li, Hua Li, Wenjie Yang, Laurence Tianruo Kwong, Sam Cong, Runmin Hainan University China The Hong Kong University of Science and Technology Guangzhou China Key Laboratory of New Generation Artificial Intelligence Technology & Its Interdisciplinary Applications Southeast University Ministry of Education China Huazhong University of Science and Technology China St. Francis Xavier University Canada LIngnan University School of Data Science Hong Kong Shandong University School of Control Science and Engineering China Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China
With the breakthrough of large models, Segment Anything Model (SAM) and its extensions have been attempted to apply in diverse tasks of computer vision. Underwater salient instance segmentation is a foundational and v... 详细信息
来源: 评论