분류 전체보기28 Revisiting Skeleton-based Action Recognition, CVPR’22 논문 링크 : https://openaccess.thecvf.com/content/CVPR2022/papers/Duan_Revisiting_Skeleton-Based_Action_Recognition_CVPR_2022_paper.pdfAbstractGCN-based methods are subject to limitations in robustness, interoperability, and scalability. In this work, we propose PoseConv3D, a new approach to skeleton-based action recognition. PoseConv3D relies on a 3D heatmap volume instead of a graph sequence as th.. 2023. 7. 21. DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition, ACM MM’22 논문 링크 : https://arxiv.org/pdf/2210.05895.pdf Abstract We note that existing GCN based approaches primarily rely on prescribed graphical structures (i.e., a manually defined topology of skeleton joints), which limits their flexibility to capture complicated correlations between joints. To move beyond this limitation, we propose a new framework for skeleton-based action recognition, namely Dynamic.. 2023. 7. 21. Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild, ECCV’20 논문 링크 : https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123570035.pdfAbstractWe present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment. Notably, our method runs on datasets without any scene- or object level 3D supervision. Our key insight is that co.. 2023. 7. 21. PROX-D, PROX-E, PROX-S 정리 Resolving 3D Human Pose Ambiguities with 3D Scene Constraints AbstractWe show that current 3D human pose estimation methods produce results that are not consistent with the 3D scene. Our key contribution is to exploit static 3D scene structure to better estimate human pose from monocular images. The method enforces Proximal Relationships with Object eXclusion and is called PROX. To test this, we.. 2023. 7. 21. 이전 1 2 3 4 5 ··· 7 다음