Titlebook: Computer Vision – ACCV 2022; 16th Asian Conferenc Lei Wang,Juergen Gall,Rama Chellappa Conference proceedings 2023 The Editor(s) (if applic

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書目名稱Computer Vision – ACCV 2022影響因子(影響力)




書目名稱Computer Vision – ACCV 2022影響因子(影響力)學(xué)科排名




書目名稱Computer Vision – ACCV 2022網(wǎng)絡(luò)公開度




書目名稱Computer Vision – ACCV 2022網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision – ACCV 2022被引頻次




書目名稱Computer Vision – ACCV 2022被引頻次學(xué)科排名




書目名稱Computer Vision – ACCV 2022年度引用




書目名稱Computer Vision – ACCV 2022年度引用學(xué)科排名




書目名稱Computer Vision – ACCV 2022讀者反饋




書目名稱Computer Vision – ACCV 2022讀者反饋學(xué)科排名

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Exposing Face Forgery Clues via?Retinex-Based Image Enhancementthe RGB feature extractor to concentrate more on forgery traces from an MSR perspective. The feature re-weighted interaction module implicitly learns the correlation between the two complementary modalities to promote feature learning for each other. Comprehensive experiments on several benchmarks s

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Occluded Facial Expression Recognition Using Self-supervised Learningownstream task. The experimental results on several databases containing both synthesized and realistic occluded facial images demonstrate the superiority of the proposed method over state-of-the-art methods.

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Focal and?Global Spatial-Temporal Transformer for?Skeleton-Based Action Recognitionteractions between the focal joints and body parts are incorporated to enhance the spatial dependencies via mutual cross-attention. (2) FG-TFormer: focal and global temporal transformer. Dilated temporal convolution is integrated into the global self-attention mechanism to explicitly capture the loc

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Spatial-Temporal Adaptive Graph Convolutional Network for?Skeleton-Based Action Recognitioning the direct long-range temporal dependencies adaptively. On three large-scale skeleton action recognition datasets: NTU RGB+D 60, NTU RGB+D 120, and Kinetics Skeleton, the STA-GCN outperforms the existing state-of-the-art methods. The code is available at ..

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