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检索条件"机构=Zhejiang Key Laboratory of Biomedical Intelligent Computing Technology"
290 条 记 录,以下是71-80 订阅
排序:
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and Their Applications in Supervising Image Reconstruction
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and The...
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Ziqi Gao Wendi Yang Yujia Li Lei Xing S. Kevin Zhou Division of Life Sciences and Medicine School of Biomedical Engineering University of Science and Technology of China (USTC) Hefei Anhui China Center for Medical Imaging Robotics Analytic Computing & Learning (MIRACLE) Suzhou Institute for Advance Research USTC Suzhou Jiangsu China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology China Department of Radiation Oncology Stanford University Stanford CA USA Key Laboratory of Precision and Intelligent Chemistry USTC CAS Hefei Anhui
Non-semantic context information is crucial for visual recognition, as the human visual perception system first uses global statistics to process scenes rapidly before identifying specific objects. However, while sema... 详细信息
来源: 评论
Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
arXiv
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arXiv 2025年
作者: Wan, Xixi Zheng, Aihua Wang, Zi Jiang, Bo Tang, Jin Ma, Jixin Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Security Artificial Intelligence School of Artificial Intelligence Anhui University Hefei230601 China School of Biomedical Engineering Anhui Medical University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China School of Computing and Mathematical Sciences University of Greenwich LondonSE10 9LS United Kingdom
Multi-modal data provides abundant and diverse object information, crucial for effective modal interactions in Re-Identification (ReID) tasks. However, existing approaches often overlook the quality variations in loca... 详细信息
来源: 评论
3D Anatomical Structure-Guided Deep Learning for Accurate Diffusion Microstructure Imaging
3D Anatomical Structure-Guided Deep Learning for Accurate Di...
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IEEE International Symposium on biomedical Imaging
作者: Xinrui Ma Jian Cheng Wenxin Fan Ruoyou Wu Yongquan Ye Shanshan Wang Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Software Development Environment Beihang University Beijing China Key Laboratory of Data Science and Intelligent Computing Institute of International Innovation Beihang University Hangzhou Zhejiang China Pengcheng Laboratory Shenzhen Guangdong China United Imaging Healthcare Houston TX USA
Diffusion magnetic resonance imaging (dMRI) is a crucial non-invasive technique for exploring the microstructure of the living human brain. Traditional hand-crafted and model-based tissue microstructure reconstruction... 详细信息
来源: 评论
A study of 10 Rotating Radio Transients using Parkes radio telescope
arXiv
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arXiv 2024年
作者: Ren, Xinhui Wang, Jingbo Yan, Wenming Xie, Jintao Wang, Shuangqiang Wen, Yirong Xia, Yong Xinjiang Astronomical Observatory Chinese Academy of Sciences Xinjiang Urumqi830011 China University of Chinese Academy of Sciences Beijing100049 China Institute of Optoelectronic Technology Lishui University Zhejiang Lishui323000 China Xinjiang Key Laboratory of Radio Astrophysics Xinjiang Urumqi830011 China Research Center for Intelligent Computing Platforms Zhejiang Laboratory Zhejiang Hangzhou311100 China
Rotating Radio Transients (RRATs) are a relatively new subclass of pulsars that emit detectable radio bursts sporadically. We conducted an analysis of 10 RRATs observed using the Parkes telescope, with 8 of these obse... 详细信息
来源: 评论
Prediction of piRNA-mRNA interactions based on an interactive inference network
Prediction of piRNA-mRNA interactions based on an interactiv...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Yajun Liu Ru Li Aimin Li Rong Fei Xie Guo Fang-Xiang Wu Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an University of Technology Xi'an China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China Department of Computer Science Department of Mechanical Engineering Division of Biomedical Engineering University of Saskatchewan Saskatoon Canada
As the largest class of small non-coding RNAs, piRNAs primarily present in the reproductive cells of mammals, which influence post-transcriptional processes of mRNAs in multiple ways. Effective methods for predicting ...
来源: 评论
Towards Accurate Unified Anomaly Segmentation
Towards Accurate Unified Anomaly Segmentation
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Wenxin Ma Qingsong Yao Xiang Zhang Zhelong Huang Zihang Jiang S. Kevin Zhou Division of Life Sciences and Medicine School of Biomedical Engineering University of Science and Technology of China (USTC) Hefei Anhui China Center for Medical Imaging Robotics Analytic Computing & Learning (MIRACLE) USTC Suzhou Institute for Advance Research Suzhou Jiangsu China Stanford University Palo Alto California United State School of Medicine Shanghai University Shanghai China Key Laboratory of Precision and Intelligent Chemistry USTC Hefei Anhui China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS
Unsupervised anomaly detection (UAD) from images strives to model normal data distributions, creating discriminative representations to distinguish and precisely localize anomalies. Despite recent advancements in the ... 详细信息
来源: 评论
Probing globular cluster with MeerKAT and FAST: a pulsar polarization census
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Science Bulletin 2025年 第10期70卷 1568-1571页
作者: Zhang, Lei Abbate, Federico Li, Di Possenti, Andrea Bailes, Matthew Ridolfi, Alessandro Freire, Paulo C.C. Ransom, Scott M. Zhang, Yong-Kun Guo, Meng Ni, Meng-Meng Hu, Jia-Le Feng, Yi Wang, Pei Zhang, Jie Zhi, Qi-Jun National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Centre for Astrophysics and Supercomputing Swinburne University of Technology VIC3122 Australia INAF – Osservatorio Astronomico di Cagliari Via della Scienza 5 SelargiusI-09047 Italy Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany New Cornerstone Science Laboratory Department of Astronomy Tsinghua University Beijing100084 China Swinburne University of Technology VIC3122 Australia Faculty of Physics University of Bielefeld Bielefeld33501 Germany National Radio Astronomy Observatory Charlottesville22903 United States National Supercomputing Center in Jinan Qilu University of Technology Jinan250103 China Jinan Institute of Supercomputing Technology Jinan250103 China Research Center for Intelligent Computing Platforms Zhejiang Laboratory Hangzhou311100 China Institute for Astronomy School of Physics Zhejiang University Hangzhou310027 China College of Physics and Electronic Engineering Qilu Normal University Jinan250200 China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal University Guiyang550001 China
来源: 评论
Fine-Grained Spatial-Temporal Framework for Engagement Prediction  2nd
Fine-Grained Spatial-Temporal Framework for Engagement Pred...
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2nd CSIG Conference on Emotional Intelligence, CEI 2024
作者: Wang, Shanshan Zheng, Yong Wang, keyang Zhang, Xingyi The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Beijing China Institutes of Physical Science and Information Technology Anhui University Anhui China Zhejiang Dahua Technology Co. Ltd. Zhejiang China School of Computer Science and Technology Anhui University Anhui China
The engagement prediction task aims to identify the current level of involvement of individuals based on the information presented in video clips. In recent years, engagement prediction has attracted considerable atte... 详细信息
来源: 评论
A Planned Radio Quiet Zone around the Ali Observatory
A Planned Radio Quiet Zone around the Ali Observatory
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URSI Atlantic Radio Science Conference (URSI AT-RASC)
作者: Haiyan Zhang Yu Wang Hao Hu Shijie Huang Guifang Wu National Astronomical Observatories Chinese Academy of Sciences 20A Datun Road Chaoyang District Beijing China Key Laboratory of Radio Astronomy and Technology Beijing China Hebei Key Laboratory of Radio Astronomy Technology Shijiazhuang Hebei China Research Center for Intelligent Computing Platforms Zhejiang Laboratory Zhongtai Street Yuhang District Hangzhou Zhejiang China China Electric Power Research Institute Co. Ltd 15 Qinghe Xiaoying East Road Beijing China
Due to its unique location, the Ali Observatory has been a good site for optical, infrared and radio astronomical telescopes. The Ali CMB (Cosmic Microwave Background) Polarization Telescope (AliCPT-1) is now under co... 详细信息
来源: 评论
Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix
arXiv
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arXiv 2023年
作者: Lv, Shaogao Wen, Gang Liu, Shiyu Wei, Linsen Li, Ming Department of Statistics and Data Science Nanjing Audit University China University of Electronic Science and Technology of China China School of Astronautics Northwestern Polytechnical University China Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Zhejiang Normal University Jinhua China Key Laboratory of Scientific and Engineering Computing Ministry of Education Shanghai Jiao Tong University China
To improve the robustness of graph neural networks (GNN), graph structure learning (GSL) has attracted great interest due to the pervasiveness of noise in graph data. Many approaches have been proposed for GSL to join... 详细信息
来源: 评论