Spatio-temporal action detectionGraph neural networksAtomic visual actionsModeling person interactions with their surroundings has proven to be effective for recognizing and localizing human actions in videos. While most recent works focus on learning short term interactions, in this work, we consider ...
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition 时空初始图卷积网络用于基于骨骼的动作识别 CVPR2020 STIGCN 邻接矩阵的拓扑是建模输入骨骼相关性的关键因素。先前方法主要集中于图拓扑的设计/学习。但是一旦了解了拓扑,网络的每一层中将仅存在一个单比例特征和一个转换。已经...
Skeleton-based human action recognition has attracted much attention with the prevalence of accessible depth sensors. Recently, graph convolutional networks (GCNs) have been widely used for this task due to their powerful capability to model graph data. The topology of the adjacency graph is a key...
Spatio-TemporalGraphConvolutionalNetwork: ImprovingTrafficPrediction with Navigation Data 【混合时空图卷积网络:交通流量预测】 【要点】:将交通路网视为一个以路段为节点的图。 【补充知识】 图卷积:https://zhuanlan.zhihu.com/p/89503068 Spatio-Temporal Attention Based LSTM Networks for 3D Action Recognition a...
Spatio-Temporal Graph Complementary Scattering Networks To address this issue, the spatio-temporal graph scattering transform (ST-GST) was proposed to put forth a theoretically interpretable framework; however, ... Z Cheng,S Chen,Y Zhang 被引量: 0发表: 2021年 Human Action Recognition Based on ...
Skeleton-based action recognitionMulti-level graph convolution networkContrastive learningMulti-scale temporal convolutionGraph Convolutional Networks (GCNs) have ... P Geng,H Li,F Wang,... - 《Signal Processing the Official Publication of the European Association for Signal Processing》 被引量: 0发表...
The intermittent stay of the signals at a given risk class does not give room for immediate action on the CSG well since it is expected to remain in the severe risk category for a couple of days before the failure can occur. To this end, the operators are expected to start taking ...
network-sciencepattern-recognitioncomplex-networksgraph-miningspatio-temporal-analysischronnet UpdatedDec 1, 2021 R A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM) machine-learningbig-datageospatialebirdmovement-ecologyecologyspatiotemporalbiodiversityanimalspatio-temporal-analysisanimal-move...
On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition network using spatial attention applied on a predefined graph Adjacency matrix that is optimized jointly with model's parameters in an end-to-end manner. ... N Heidari,A Iosifidis -...
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. Baoyu Jing (University of Illinois at Urbana-Champaign, Champaign), Dawei Zhou, Kan Ren, Carl Yang. CIKM 2024 [link] LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting...