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检索条件"机构=Key Laboratory for Computer Vision and Pattern Recognition"
579 条 记 录,以下是81-90 订阅
排序:
Multi-Head Attention Mechanism for MultiStation Passenger Flow Prediction
Multi-Head Attention Mechanism for MultiStation Passenger Fl...
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2022 International Symposium on Design Studies and Intelligence Engineering, DSIE 2022
作者: Chen, Long Liu, Lijuan Yuan, Lei College of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361024 China
Passenger flow prediction is of great significance for public transportation. Most of the existing studies mainly predict the flow for a single station only extracting temporal features without considering spatial fea... 详细信息
来源: 评论
Brain Tumor Image Segmentation Based on Grouped Convolution  6
Brain Tumor Image Segmentation Based on Grouped Convolution
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2022 6th International Conference on Machine vision and Information Technology, CMVIT 2022
作者: Wu, Mingliang Ye, Hai-Li Wu, Yun Li, Jianmin School of Computer and Information Engineering Xiamen University of Technology Xiamen361000 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361000 China
The automatic segmentation of MRI multi-modal images of brain tumors is one of the important research contents of disease detection and analysis. Due to the heterogeneity of tumors, it is difficult to achieve efficien... 详细信息
来源: 评论
Image Segmentation of Endoscopic Cataract Based on Semantic Segmentation  6
Image Segmentation of Endoscopic Cataract Based on Semantic ...
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2022 6th International Conference on Machine vision and Information Technology, CMVIT 2022
作者: Chen, Jingshi Ye, Haili Yin, Huayi Wang, Da-Han Li, Jianmin School of Computer and Information Engineering Xiamen University of Technology Xiamen361000 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361000 China
Medical imaging technology has become one of the indispensable computer-assisted intervention methods in clinical disease diagnosis and treatment, including identifying and locating lesion areas, detecting and segment... 详细信息
来源: 评论
Cognitive Science and Artificial Intelligence  1
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丛书名: SpringerBriefs in Applied Sciences and Technology
1000年
作者: Sasikumar Gurumoorthy Bangole Narendra Kumar Rao Xiao-Zhi Gao
来源: 评论
A Novel Clustering Model TEC for Station Classification  37th
A Novel Clustering Model TEC for Station Classification
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37th International Conference on Advanced Information Networking and Applications, AINA 2023
作者: Yuan, Lei Liu, Lijuan Zhu, Shunzhi Chen, Long College of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361024 China
Station classification plays an important role in urban intelligent transportation systems. Recently, most of studies usually choose different features to analyze the function of stations. Moreover, they usually choos... 详细信息
来源: 评论
ResAsapp: An Effective Convolution to Distinguish Adjacent Pixels For Scene Text Detection  11
ResAsapp: An Effective Convolution to Distinguish Adjacent P...
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11th International Conference on Computing and pattern recognition, ICCPR 2022
作者: Weng, Kangming Du, Xia Chen, Kunze Wang, Dahan Zhu, Shunzhi School of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361024 China
The segmentation-based approach is an essential direction of scene text detection, and it can detect arbitrary or curved text, which has attracted the increasing attention of many researchers. However, extensive resea... 详细信息
来源: 评论
Learning to Predict Context-Adaptive Convolution for Semantic Segmentation  16th
Learning to Predict Context-Adaptive Convolution for Semanti...
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16th European Conference on computer vision, ECCV 2020
作者: Liu, Jianbo He, Junjun Qiao, Yu Ren, Jimmy S. Li, Hongsheng CUHK-SenseTime Joint Laboratory The Chinese University of Hong Kong Hong Kong Shenzhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SenseTime Research Hong Kong
Long-range contextual information is essential for achieving high-performance semantic segmentation. Previous feature re-weighting methods demonstrate that using global context for re-weighting feature channels can ef... 详细信息
来源: 评论
Robust stereo on multiple resolutions
Robust stereo on multiple resolutions
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13th International Conference on pattern recognition, ICPR 1996
作者: Menard, Christian Leonardis, Aleš Department for Pattern Recognition and Image Processing Technical University Vienna Treitlstraße 3/1832 3A-1040 Vienna Austria University of Ljubljana Faculty of Computer and Information Science Computer Vision Laboratory Ljubljana Slovenia
Stereo computation is one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous results th... 详细信息
来源: 评论
Text-Video Knowledge Guided Prompting for Weakly Supervised Temporal Action Localization
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IEEE Transactions on Circuits and Systems for Video Technology 2024年 第5期35卷 4184-4197页
作者: Shao, Yuxiang Zhang, Feifei Xu, Changsheng Tianjin University of Technology Tianjin300384 China Tianjin University of Technology School of Computer Science and Engineering Tianjin300384 China Tianjin University of Technology Key Laboratory of Computer Vision and System Ministry of Education Tianjin300384 China Chinese Academy of Sciences National Laboratory of Pattern Recognition Institute of Automation Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Peng Cheng Laboratory Shenzhen518066 China
Weakly supervised temporal action localization (WTAL) aims to localize action instances with only video-level labels for supervision. Recent methods convert category labels to natural language through prompting and ut... 详细信息
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Rapid disparity prediction for dynamic scenes
Rapid disparity prediction for dynamic scenes
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9th International Symposium on Advances in Visual Computing, ISVC 2013
作者: Jiang, Jun Cheng, Jun Chen, Baowen Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Chinese University of Hong Kong Hong Kong Hong Kong Shsenzhen Institute of Information Technology China Guangdong Provincial Key Laboratory of Robotics and Intelligent System China Shenzhen Key Laboratory of Computer Vision and Pattern Recognition China
Real-time 3D sensing plays a critical role in robotic navigation, video surveillance and human-computer interaction, etc. When computing 3D structures of dynamic scenes from stereo sequences, spatiotemporal stereo and... 详细信息
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