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Titlebook: Computer Vision – ACCV 2020 Workshops; 15th Asian Conferenc Imari Sato,Bohyung Han Conference proceedings 2021 Springer Nature Switzerland

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Eljar Akhgarnush,Fabian Bruse,Ben Hofertions should robustly estimate the jaywalking pedestrians. However, the task of robustly estimating jaywalking is not trivial, especially in the case of visible camera-based estimation. In this work, a two-step hierarchical deep learning formulation using visible and thermal camera is proposed to ad
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Lars Rautenburger,Alexander Lieblm is the example-based approach. The existing example-based approaches often calculate a global pose error to search a single match 3D pose from the source library. This way fails to capture the local deformations of human pose and highly dependent on a large training set. To alleviate these issues,
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Processes in a Digital Environment is applied to a facial video, the detected landmarks occasionally jitter, whereas the face apparently does not move. We hypothesize that there are two causes that induce the unstable detection: (1) small changes in input images and (2) inconsistent annotations. Corresponding to the causes, we propo
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Conference proceedings 2021h was held in Kyoto, Japan, in November/ December 2020.*.The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU)..*The conference and workshops were held virtually..
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