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近日,中国人民大学高瓴人工智能学院徐君教授出版了外文著作《Deep Learning for Matching in Search and Recommendation》(中文译作:《搜索与推荐中的深度语义匹配》)。本书从语义匹配的角度广泛调研了搜索与推荐任务的解决方案,对现有流行的深度匹配模型进行了系统的分析和对比,为研究和开发搜索及推荐模型提供了一种新的研究视角和工具。中国科学技术大学教授何向...
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
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...
Global algorithms currently represent the state-of-the-art in dense stereo matching. These methods first set up an energy function.The energy function is then subject to optimization, which is t...
Information distributed through the Web keeps growing faster day by day, and for this reason, several techniques for extracting Web data have been suggested during last years. Often, extraction tasks ...
Nowadays cartographic objects of different resolutions are hold in different coexisting databases. This implies an extensive amount of work for updating an object in all resolutions. One way to reduc...
Millions of books from public libraries and private collections have been scanned by various organizations in the last decade. The motivation is to preserve the written human heritage in electronic fo...
In previous works of face recognition, similarity betweenfaces is measured by comparing corresponding face regions. That is to say, matching eyes with eyes and mouths withmouths etc.. In this paper, w...
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
Inspired by the stability functions of human vision system, we present a novel video stabilization method based on saliency driven SIFT matching and discriminative RANSAC. Firstly, a saliency detectio...
Content-based video copy detection over large corpus withcomplex transformations is important but challenging. It isnot surprising that most existing methods fall short of eithersufficient robustness ...
In this paper, we adopt the integration model of spatial feature correlations to order the indexing and matching features, and address the computational ineffectiveness and inefficiency of local fea...
Nowadays, the issue of near-duplicate video matching has been extensively studied. However, transformation, which is one of the major causes of near-duplicates, has been little discussed. In this pape...
In this paper, we present a simple and effective signature verification method that depends only on the raw binary pixel intensities and avoids using complex sets of features. The method looks at the ...

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