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山东大学计算机科学与技术学院交叉研究中心最新研究成果被计算机视觉领域顶级期刊IEEE Transactions on Image Processing录用(图)
山东大学计算机科学与技术学院交叉研究中心 计算机视觉 IEEE Transactions on Image Processing
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2022/12/24
DEEP LEARNING FOR LOWTEXTURED IMAGE MATCHING
image matching deep convolutional neural networks auto-encoders cultural heritage
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2018/6/4
Low-textured objects pose challenges for an automatic 3D model reconstruction. Such objects are common in archeological applications of photogrammetry. Most of the common feature point descriptors fai...
2017计算机图像,视频和三维形状分析深度学习研讨会(Workshop on DEEP LEARNING IN COMPUTER VISION FOR IMAGE, VIDEO AND 3D SHAPE ANALYSIS)
2017 计算机图像 视频 三维形状 分析 深度学习 研讨会
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2017/5/22
This tutorial lecture aims at providing an overview of the recent advances around deep learning techniques in computer vision. Some amount of exposure to the modern computer vision and machine learni...
第19届图像分析和处理国际会议(19th International Conference on Image Analysis and Processing)
第19届 图像分析和处理 国际会议
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2017/3/21
ICIAP 2017 is the 19th edition of a series of conferences organized biennially by the Italian Member Society (GIRPR) of the International Association for Pattern Recognition (IAPR).
Separating a Real-Life Nonlinear Image Mixture
independent component analysis source separation nonlinear image separation document processing
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2015/8/3
When acquiring an image of a paper document, the image printed on the back page sometimes shows through. The mixture of the front- and back-page images thus obtained is markedly nonlinear, and thus co...
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New Device Could Greatly Improve Speech and Image Recognition(图)
Greatly Improve Speech Image Recognition
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2015/5/25
Researchers at the University of California, Riverside Bourns College of Engineering and the Russian Academy of Sciences have successfully demonstrated pattern recognition using a magnonic h...
2008国际声音、语言、图象过程大会——International Conference on Audio, Language and Image Processing 2008
2008 声音 语言 图象过程 Audio Language Image Processing
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2008/4/5
This conference will provide a unique forum for researchers, engineers and educators interested in audio, language and image processing to learn about recent progresses, to address related challenges ...