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检索条件"机构=State Key Laboratory Software Engineering and School Computer and Complex Network Research Center"
553 条 记 录,以下是121-130 订阅
排序:
DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space
arXiv
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arXiv 2023年
作者: Guo, Haonan Du, Bo Wu, Chen Han, Chengxi Zhang, Liangpei The State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan China The National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan China
Change detection (CD) is an important yet challenging task in the Earth observation field for monitoring Earth surface dynamics. The advent of deep learning techniques has recently propelled automatic CD into a techno... 详细信息
来源: 评论
Rethinking Federated Learning with Domain Shift: A Prototype View
Rethinking Federated Learning with Domain Shift: A Prototype...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Wenke Huang Mang Ye Zekun Shi He Li Bo Du National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering School of Computer Science Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan China
Federated learning shows a bright promise as a privacy-preserving collaborative learning technique. However, prevalent solutions mainly focus on all private data sampled from the same domain. An important challenge is...
来源: 评论
Freevc: Towards High-Quality Text-Free One-Shot Voice Conversion
Freevc: Towards High-Quality Text-Free One-Shot Voice Conver...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Jingyi Li Weiping Tu Li Xiao National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan China Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan China Hubei Luojia Laboratory China
Voice conversion (VC) can be achieved by first extracting source content information and target speaker information, and then reconstructing waveform with these information. However, current approaches normally either... 详细信息
来源: 评论
Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
Unsupervised Visible-Infrared Person Re-Identification via P...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Zesen Wu Mang Ye Hubei Key Laboratory of Multimedia and Network Communication Engineering National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan China
Unsupervised visible-infrared person re-identification is a challenging task due to the large modality gap and the unavailability of cross-modality correspondences. Cross-modality correspondences are very crucial to b...
来源: 评论
Towards Modality-Agnostic Person Re-identification with Descriptive Query
Towards Modality-Agnostic Person Re-identification with Desc...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Cuiqun Chen Mang Ye Ding Jiang National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering Institute of Artificial Intelligence School of Computer Science Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan China
Person re-identification (ReID) with descriptive query (text or sketch) provides an important supplement for general image-image paradigms, which is usually studied in a single cross-modality matching manner, e.g., te...
来源: 评论
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
Cross-Modal Implicit Relation Reasoning and Aligning for Tex...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Ding Jiang Mang Ye National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering Institute of Artificial Intelligence School of Computer Science Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan China
Text-to-image person retrieval aims to identify the target person based on a given textual description query. The primary challenge is to learn the mapping of visual and textual modalities into a common latent space. ...
来源: 评论
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
arXiv
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arXiv 2023年
作者: Jiang, Ding Ye, Mang National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering School of Computer Science Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan China
Text-to-image person retrieval aims to identify the target person based on a given textual description query. The primary challenge is to learn the mapping of visual and textual modalities into a common latent space. ... 详细信息
来源: 评论
Dear-DIA^(XMBD): Deep Autoencoder Enables Deconvolution of Data-Independent Acquisition Proteomics
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research 2024年 第1期6卷 707-720页
作者: Qingzu He Chuan-Qi Zhong Xiang Li Huan Guo Yiming Li Mingxuan Gao Rongshan Yu Xianming Liu Fangfei Zhang Donghui Guo Fangfu Ye Tiannan Guo Jianwei Shuai Jiahuai Han Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials ResearchXiamen UniversityXiamen 361005China Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)and Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhouZhejiang 325001China School of Life Sciences Xiamen UniversityXiamen 361102China State Key Laboratory of Cellular Stress Biology Innovation Center for Cell Signaling NetworkXiamen 361102China Department of Computer Science Xiamen UniversityXiamen 361005China National Institute for Data Science in Health and Medicine School of MedicineXiamen UniversityXiamen 361102China Bruker(Beijing)Scientific Technology Co.Ltd. BeijingChina Westlake Laboratory of Life Sciences and Biomedicine Key Laboratory of Structural Biology of Zhejiang ProvinceSchool of Life SciencesWestlake University18 Shilongshan RoadHangzhou 310024China Institute of Basic Medical Sciences Westlake Institute for Advanced Study18 Shilongshan RoadHangzhou 310024China Westlake Omics Ltd. Yunmeng Road 1HangzhouChina Department of Electronic Engineering Xiamen UniversityXiamen 361005China
Data-independent acquisition(DIA)technology for protein identification from mass spectrometry and related algorithms is developing *** spectrum-centric analysis of DIA data without the use of spectra library from data... 详细信息
来源: 评论
Look from Coarse to Fine: A Hierarchical Lane Detection network
Look from Coarse to Fine: A Hierarchical Lane Detection Netw...
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Artificial Intelligence Innovation (ICAII), International Conference on
作者: Xichen Yu Yanduo Zhang Tao Lu Xun Li Jun Chang Hubei Provincial Key Laboratory of Intelligent Robot School of Computer Science and Engineering & School of Artificial Intelligence Wuhan Institute of Technology Wuhan China Hubei Key Laboratory of Multimedia and Network Communication Engineering National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence and School of Computer Science Wuhan University Wuhan China
Lane detection involves identifying a high-level semantic identifier with a slender structure, which requires both high-level feature detection for existence and low-level features for shape and position determination...
来源: 评论
Fine-Grained Noisy Segment Learning for Fatigue Detection
SSRN
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SSRN 2024年
作者: Wang, Mei Hu, Ruimin Liao, Liang Wang, Xiaochen Chen, Xiaohe Hu, Jinzhang National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan430072 China The Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan430072 China The School of Computer Science and Engineering Nanyang Technological University Singapore The Wuhan Research Institute of Posts and Telecommunications Wuhan430072 China
In fatigue detection, fine-grained labels (seconds-based) commonly inherit coarse-grained labels (minutes-based or more). However, due to the dynamic and time-varying nature of fatigue states, ``Noisy Segments'... 详细信息
来源: 评论