Titlebook: Advances in Computer Graphics; 40th Computer Graphi Bin Sheng,Lei Bi,Daniel Thalmann Conference proceedings 2024 The Editor(s) (if applicab

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Entstehen vertraglicher Schuldverhältnisseing, studying human genetics, generating family maps, family photo albums, etc. Therefore, we propose a deep feature learning method (DFLKV) which can extract more discriminative features for kinship verification. For a pair of facial images, we firstly design a network with multi-scale channel atte

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Erlöschen der Schuldverhältnisseit is more useful in real-world applications. We propose a new efficient semantic-guidance high-resolution video matting network for human body. We apply the convolutional network as the backbone while also employing the transformer in the encoder, which is used to utilize semantic features, while e

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Entstehen vertraglicher Schuldverhältnissehlights the effectiveness of using diverse datasets and advanced representation learning models for the purpose of building segmentation in remote sensing images. By fusing various datasets, we have broadened the scope of our learning resources and achieved exemplary performance across several datas

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https://doi.org/10.1007/978-3-322-99402-8ure complexity analysis is proposed. First, we calculate the standard deviation map of the host image by the spatially selective texture method and achieve the optimal target regions (OTRs) by clustering the binary standard deviation map. To improve the robustness of the proposed algorithm, we use s

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https://doi.org/10.1007/978-3-322-99402-8pth and insufficient utilization of 3D information in video-based depth estimation. We use the relative ordinal relations between human joint point pairs to deal with the problem of joint point distortion. Meanwhile, a temporal correlation module is proposed to focus on the temporal correlation betw

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https://doi.org/10.1007/978-3-322-99402-8 to the lack of large-scale artwork datasets. The recently proposed BAID dataset fills this gap and allows us to delve into the aesthetic assessment methods of artworks, and this research will contribute to the study of artworks and can also be applied to real-life scenarios, such as art exams, to a

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