有害处 发表于 2025-3-30 10:17:22
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Social Aware Multi-modal Pedestrian Crossing Behavior Predictionnment. Previous methods ignored the inherent uncertainty of pedestrian future actions and the temporal correlations of spatial interactions. To solve the aforementioned problems, we propose a novel social aware multi-modal pedestrian crossing behavior prediction network. In this research field, our真繁荣 发表于 2025-3-30 20:04:50
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Christopher Patton,Thomas ShrimptonUnsupervised self-rehabilitation exercises and physical training can cause serious injuries if performed incorrectly. We introduce a learning-based framework that identifies the mistakes made by a user and proposes corrective measures for easier and safer individual training.半身雕像 发表于 2025-3-31 04:23:02
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https://doi.org/10.1007/978-3-031-26316-3computer vision; image processing; artificial intelligence; machine learning; image analysis; pattern recHemiparesis 发表于 2025-3-31 12:35:36
978-3-031-26315-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature SwitzerlLacunar-Stroke 发表于 2025-3-31 15:32:45
Computer Vision – ACCV 2022978-3-031-26316-3Series ISSN 0302-9743 Series E-ISSN 1611-3349牲畜栏 发表于 2025-3-31 18:45:36
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