Titlebook: Image and Graphics; 12th International C Huchuan Lu,Wanli Ouyang,Min Xu Conference proceedings 2023 The Editor(s) (if applicable) and The A

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書目名稱Image and Graphics影響因子(影響力)




書目名稱Image and Graphics影響因子(影響力)學(xué)科排名




書目名稱Image and Graphics網(wǎng)絡(luò)公開度




書目名稱Image and Graphics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Image and Graphics被引頻次




書目名稱Image and Graphics被引頻次學(xué)科排名




書目名稱Image and Graphics年度引用




書目名稱Image and Graphics年度引用學(xué)科排名




書目名稱Image and Graphics讀者反饋




書目名稱Image and Graphics讀者反饋學(xué)科排名

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/461475.jpg

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Image and Graphics978-3-031-46305-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Attention-Based Global-Local Graph Learning for?Dynamic Facial Expression Recognitionral information to better understand expressions in videos with occlusions, variant poses and poor illumination. In this paper, we propose a novel global-local graph-learning method based on attention mechanisms to conduct robust recognition for these challenging cases. First, we extract high-level

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Implicit Representation for?Interacting Hands Reconstruction from?Monocular Color Imagesion of existing AR/VR technology. With the emergence of interacting hands datasets, numerous data-driven methods attempt to regress the MANO parameters of the left and right hand from the network. This formulation not only limits the handedness and the number of hands in the image but also introduce

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FAFormer: Foggy Scene Semantic Segmentation by?Fog-Invariant Auxiliary Domain Adaptationccess of domain adaptive semantic segmentation in the clear scenes, we believe it is reasonable to transfer the knowledge from the clear images to the foggy images. Different from the previous methods which mainly focus on alignment between the clear domain and the foggy domain, we try to transfer t

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