Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition

9 December 2022

Papers citing "Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition"

7 / 7 papers shown

Title
Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Youwei Zhou Tianyang Xu Cong Wu Xiaojun Wu J. Kittler 3DH 78 0 0 22 Nov 2024
TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition Jeonghyeok Do Munchurl Kim 49 1 0 16 Nov 2024
Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning Yang Chen Tian He Junfeng Fu Ling Wang Jingcai Guo Hong Cheng VLM 31 2 0 31 May 2024
Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation Suhwan Cho Minhyeok Lee Jungho Lee Myeongah Cho Seungwook Park Jaeyeob Kim Hyunsung Jang Sangyoun Lee VOS 60 2 0 26 Sep 2023
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition Junghoon Lee Minhyeok Lee Dogyoon Lee Sangyoon Lee BDL 26 130 0 23 Aug 2022
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 140 283 0 04 May 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016