论文题目:Skeleton-based action recognition based on multidimensional adaptive dynamic temporal graph convolutional network 作者&团队:Xia Y, Gao Q, Wu W, et al. 1.江南大学机械工程学院 2.江苏省先进食品制造装备与技术重点实验室 发表期刊/会议:Engineering Applications of Artificial Intelligence 中科院分区:S...
论文题目:Learning Discriminative Representations for Skeleton Based Action Recognition(基于骨架的动作识别学习判别表示) 作者&团队:Zhou H, Liu Q, Wang Y. 1.虚拟现实技术与系统国家重点实验室,北…
skeleton-based-action-recognitionskeleton-based-interaction-recognition UpdatedNov 18, 2024 Python The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021 representation-learningunsupervised-learningrgb-dskeleton-based-action-recognitionmulti...
behavior dependencecontext clueself-attentionIn recent years,skeleton-based action recognition has made great achievements in Computer Vision.A graph convolutional network(GCN)is effective for action recognition,modelling the human skeleton as a spatio-temporal graph.Most GCNs define the graph topology by...
In recent years, skeleton-based action recognition has received considerable attention due to the robustness of human skeletons in complex environments. Ho
Yan Yan, Qi Dai, Xian-Sheng Hua The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)|May 2024 Graph Convolutional Networks (GCNs) have long set the state-of-the-art in skeleton-based action recognition, leveraging their ability to unravel the com...
In the field of skeleton-based action recognition, accurately recognizing human actions is crucial for applications such as virtual reality and motion analysis. However, this task faces challenges such intraindividual action differences and long-term tem
In the field of skeleton-based action recognition, ST-GCN has gained popularity because of its strong capability to model graph data and its effective use of prior knowledge regarding human joint connections. However, it faces certain challenges and limitations, such as difficulties in transferring ...
论文题目:Multi-scale Adaptive Graph Convolution Network for Skeleton-based Action Recognition 发表时间:29 January 2024 作者:Hu H, Fang Y, Han M, et al. College of Computer Science and Engineering, Changchun University of Technology, Changchun, Jilin 130012, China ...
论文题目:DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition 作者&团队:Guan S, Yu X, Huang W, et al. 1.澳大利亚人工智能研究所,悉尼科技大学 2.昆士兰大学信息技术与电气工程学院 3.日本理化学研究所先进智能项目中心 ...