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AI image generators, which create fantastical sights at the intersection of dreams and reality, bubble up on every corner of the web. Their entertainment value is demonstrated by an ever-expanding tre...
近日,山东大学计算机科学与技术学院交叉研究中心研究团队在深度神经网络卷积层的研究方面取得新进展,研究成果《DO-Conv: DepthwiseOver-parameterized Convolutional Layer》被计算机视觉领域国际顶级期刊IEEE Transactions on Image Processing (IEEE TIP)接收。该项研究成果以我校博士生曹金明为第一署名作者,以山...
近期,我校信息科学技术学院侯迎坤博士两篇论文发表在图像处理研究领域顶级期刊IEEE Transactions on Image Processing(IEEE TIP),IEEE TIP是中科院SCI一区期刊,也是中国计算机学会推荐的计算机图形学与多媒体领域A类期刊,2019年影响因子6.79。我校加强对外学术交流,2篇论文都是侯迎坤博士与南开大学徐君博士及海内外多名知名学者合作完成的。
In the second half of the 19th and early 20th century, sheep shepherds have built dry-stone shelters all over the Slovene Kras (or Karst) region. Despite being made out of stones that are interlocked ...
A significant surge has been observed with the development and research in remote sensing in recent years for hyperspectral applications in Earth observation. Subsequently, the development of software...
Tourism geological resources are of high value in admiration, scientific research and universal education, which need to be protected and rationally utilized. In the past, most of the remote sensing i...
Synthetic Aperture Radar (SAR) has become one of the most important ways to extract post-disaster collapsed building information, due to its extreme versatility and almost all-weather, day-and-night w...
How to derive contour of buildings from VHR images is the essential problem for automatic building extraction in urban area. To solve this problem, OSM data is introduced to offer vector contour infor...
Map tile technology is widely used in web geographic information services. How to efficiently produce map tiles is key technology for rapid service of images on web. In this paper, a rapid producing s...
From the last decade, the feature detection, description and matching techniques are most commonly exploited in various photogrammetric and computer vision applications, which includes: 3D reconstruct...
The purpose of carrying out national geographic conditions monitoring is to obtain information of surface changes caused by human social and economic activities, so that the geographic information can...
This work presents the combination of Deep-Learning (DL) and image processing to produce an automated cracks recognition and defect measurement tool for civil structures. The authors focus on tunnel c...
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...
Image restoration and image enhancement are key computer vision tasks, aiming at the restoration of degraded image content or the filling in of missing information. Recent years have witnessed an incr...
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...

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