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近日,江南大学人工智能与计算机学院吴小俊教授团队的李辉博士等在深度学习及多模态视觉信息融合研究中取得重要进展,研究成果以“LRRNet: A Novel Representation Learning Guided Fusion Framework for Infrared and Visible Images”为题发表在人工智能领域顶级学术期刊《IEEE Transactions on Patt...
Networks arise in many areas of research and applications, which come in all shapes and sizes. The most studied and best understood are static network models. Many other network models are also in exi...
近日,人工智能领域顶级学术刊物《IEEE Transactions on Pattern Analysis and Machine Intelligence》(即IEEE T-PAMI,影响因子17.861)接收了我院“准长聘人才计划” 引进的海外优秀学者曹晓锋副教授的最新研究成果《Distribution Disagreement via Lorentzian Focal Representat...
Graphs -- data structures that show relationships among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections.But graphs are also used in ...
Popularity and diverse use of 3D city models has increased exponentially in the past few years, providing a more realistic impression and understanding of cities. Often, 3D city models are created by ...
Remote Sensing (RS) and Geography Information System (GIS) technologies are widely used in ecological analysis and regional planning. With the advantages of large scale monitoring, combination of poin...
四川大学数据结构与算法课件 Algorithm Analysis
The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) is the leading research symposium on software testing and analysis, bringing together academics, industrial researchers...
The Workshop on Computer Vision for Microscopy Image Analysis (CVMI) will be held on July 21st, 2017 in conjunction with the CVPR 2017 conference. It is focused primarily on analyzing microscopy image...
The 8th International Workshop "INTERDISCIPLINARY APPROACHES IN FRACTAL ANALYSIS" IAFA 2017 will be held in Bucharest, in the last week of May (29-31) and will be hosted by the Faculty of Control and ...
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...
The iris structure motion is analyzed. Extension and compression of the iris structural elements are nonlinear with respect to the pupil radius change. To reveal this nonlinearity the Lucas-Kanade, Ho...
The aim of the paper is to obtain high quality of image upscaling for noisy images that are typical in medical image processing. A new training scenario for convolutional neural network based image up...
The emergence of social network led to the boost of user generated content which consequently gave rise to fields such as data mining and web mining. The social network also gave rise to the new pheno...
In recent computer vision research, diverse types of cameras have enabled various forms of human activity analysis. Surveillance cameras are used to sense crowd behaviors on the street. Smartphones or...

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