BULB
发表于 2025-3-21 17:15:39
书目名称Computer Vision – ECCV 2018 Workshops影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234202<br><br> <br><br>书目名称Computer Vision – ECCV 2018 Workshops读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234202<br><br> <br><br>
确定无疑
发表于 2025-3-21 22:22:11
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乐章
发表于 2025-3-22 00:38:51
MobileFace: 3D Face Reconstruction with Efficient CNN Regressiond costly methods preventing real-time applications. In this work we design a compact and fast CNN model enabling real-time face reconstruction on mobile devices. For this purpose, we first study more traditional but slow morphable face models and use them to automatically annotate a large set of ima
intolerance
发表于 2025-3-22 06:49:16
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图画文字
发表于 2025-3-22 09:42:02
Non-rigid 3D Shape Registration Using an Adaptive Templated; (2) an adaptive shape template method to improve the convergence of registration algorithms and achieve a better final shape correspondence and (3) a new iterative registration method that combines Iterative Closest Points with Coherent Point Drift (CPD) to achieve a more stable and accurate corr
粗鲁性质
发表于 2025-3-22 13:31:21
3D Human Body Reconstruction from a Single Image via Volumetric Regressionsion. The proposed method does not require the fitting of a shape model and can be trained to work from a variety of input types, whether it be landmarks, images or segmentation masks. Additionally, non-visible parts, either self-occluded or otherwise, are still reconstructed, which is not the case
粗鲁性质
发表于 2025-3-22 20:02:42
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自然环境
发表于 2025-3-22 21:47:50
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储备
发表于 2025-3-23 02:22:58
MoQA – A Multi-modal Question Answering Architecturetbook Question Answering (TQA) focuses on questions based on the school curricula, where the text and diagrams are extracted from textbooks. A subset of questions cannot be answered solely based on diagrams, but requires external knowledge of the surrounding text. In this work, we propose a novel de
machination
发表于 2025-3-23 07:47:34
Quantifying the Amount of Visual Information Used by Neural Caption Generatorsmage foils is reported, showing that the extent to which image captioning architectures retain and are sensitive to visual information varies depending on the type of word being generated and the position in the caption as a whole. We motivate this work in the context of broader goals in the field t