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检索条件"机构=Key Laboratory of Image Processing and Intelligent Control"
3188 条 记 录,以下是1041-1050 订阅
排序:
Adversarial Semantic Data Augmentation for Human Pose Estimation  16th
Adversarial Semantic Data Augmentation for Human Pose Estima...
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16th European Conference on Computer Vision, ECCV 2020
作者: Bin, Yanrui Cao, Xuan Chen, Xinya Ge, Yanhao Tai, Ying Wang, Chengjie Li, Jilin Huang, Feiyue Gao, Changxin Sang, Nong Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Tencent Youtu Lab Shanghai China
Human pose estimation is the task of localizing body keypoints from still images. The state-of-the-art methods suffer from insufficient examples of challenging cases such as symmetric appearance, heavy occlusion and n... 详细信息
来源: 评论
Gait Recognition Algorithm GCGait based on Skeleton
Gait Recognition Algorithm GCGait based on Skeleton
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Information Technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on
作者: Ru Ma Jikai Zhang Mengyu Jia Xiaoqi Lv School of Information Engineering Inner Mongolia University of Science and Technology Baotou China Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing Baotou China School of Information Engineering Inner Mongolia University of Technology Hohhot China
To solve the problem of low accuracy of gait recognition in complex scenes, a novel skeleton-based gait recognition algorithm, GCGait, is proposed. Taking human posture as the input of gait feature, the interference c...
来源: 评论
A Study on Random Differentiation Methods for Homework Based on Fuzzy Test  17th
A Study on Random Differentiation Methods for Homework Based...
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17th International Conference on Computer Science and Education, ICCSE 2022
作者: Liu, Yiwen Shi, Yuanquan Peng, Xiaoning Mi, Chunqiao Yang, Yujun School of Computer and Artificial Intelligence Huaihua University Hunan Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Hunan Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China
A fuzzy test-based method for random differentiation of homework is proposed to address the problems of low update frequency, serious plagiarism and weakened barriers in university coursework. In order to generate fuz... 详细信息
来源: 评论
Learning Situation Risk Cognition and Measurement Based on Data-Driven  17th
Learning Situation Risk Cognition and Measurement Based on D...
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17th International Conference on Computer Science and Education, ICCSE 2022
作者: Mi, Chunqiao Deng, Qingyou Zhao, Changhua Yin, Dong Liu, Yiwen School of Computer and Artificial Intelligence Huaihua University Hunan Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Hunan Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China
At present, online teaching has become more and more popular especially in the context of the current epidemic, and quality governance has become the internal needs of modern education development, while there is no s... 详细信息
来源: 评论
Parameter estimation of time fractional heat conduction equation for monocrystalline silicon
Parameter estimation of time fractional heat conduction equa...
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2021 China Automation Congress, CAC 2021
作者: Shi, Shuyan Liu, Ding Zhao, Zhongdan Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Shananxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an710048 China
In this paper, a time-fractional heat conduction model is established to describe the heat transfer process of monocrystalline silicon in the Czochralski method. The numerical solution of the fractional-order model is... 详细信息
来源: 评论
Research on Multi-dimensional Bilingual Teaching Model of Computer Courses Supported by Artificial Intelligence  17th
Research on Multi-dimensional Bilingual Teaching Model of Co...
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17th International Conference on Computer Science and Education, ICCSE 2022
作者: Zhao, Changhua Mi, Chunqiao Tangbo School of Computer Science and Engineering Huaihua University Hunan Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Hunan Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China
Aiming at the problems of the integration of computer course teaching with international teaching and engineering certification, this study designs a multi-dimensional teaching mode of computer courses through the sup... 详细信息
来源: 评论
Reform of Blended-Teaching Mode for Discipline English Based on Mobile Terminal  17th
Reform of Blended-Teaching Mode for Discipline English Based...
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17th International Conference on Computer Science and Education, ICCSE 2022
作者: Yu, Niefang Peng, Xiaoning Li, Xiaomei Lu, Youmin School of Computer and Artificial Intelligence Huaihua University Hunan Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Hunan Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Hunan Huaihua418000 China
In the context of the era of big data, the rise of using mobile terminal is also putting forward new requirements for the teaching of Discipline English. Based on some general problems in the teaching practice of this... 详细信息
来源: 评论
A Graph-Convolutional-Network based Prototype Mixing Model for Few-shot Segmentation  11
A Graph-Convolutional-Network based Prototype Mixing Model f...
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11th International Conference on Information Technology in Medicine and Education, ITME 2021
作者: Gu, Zhibo Luo, Zhiming Huang, Min Cai, Yuanzheng Li, Shaozi Xiamen University Department of Artificial Intelligence Xiamen China Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China College of Humanities Xiamen University Xiamen China
Over the past few years, deep convolutional neural networks (CNNs) based semantic segmentation methods reached the state-of-the-art performance. To train a model with the ability to know a concept, a lot of pixel leve... 详细信息
来源: 评论
Self-supervised denoising for multimodal structured illumination microscopy enables long-term super-resolution live-cell imaging
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PhotoniX 2024年 第1期5卷 654-675页
作者: Xingye Chen Chang Qiao Tao Jiang Jiahao Liu Quan Meng Yunmin Zeng Haoyu Chen Hui Qiao Dong Li Jiamin Wu Department of Automation Tsinghua UniversityBeijing 100084China Research Institute for Frontier Science Beihang UniversityBeijing 100083China Institute for Brain and Cognitive Sciences Tsinghua UniversityBeijing 100084China National Laboratory of Biomacromolecules New Cornerstone Science LaboratoryCAS Center for Excellence in BiomacromoleculesInstitute of BiophysicsChinese Academy of SciencesBeijing 100101China College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China Laboratory of Image Processing and Intelligent Control of Ministry of Education of China School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China
Detection noise significantly degrades the quality of structured illumination microscopy(SIM)images,especially under low-light *** supervised learning based denoising methods have shown prominent advances in eliminati... 详细信息
来源: 评论
Unsupervised Learning of 3D Scene Flow from Monocular Camera
arXiv
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arXiv 2022年
作者: Wang, Guangming Tian, Xiaoyu Ding, Ruiqi Wang, Hesheng Department of Automation Institute of Medical Robotics Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai 200240 China
Scene flow represents the motion of points in the 3D space, which is the counterpart of the optical flow that represents the motion of pixels in the 2D image. However, it is difficult to obtain the ground truth of sce... 详细信息
来源: 评论