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Temporal network compression via network hashing
Pairwise temporal interactions between entities can be represented as temporal networks, which code the propagation of processes such as epidemic...
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Temporal-visual proposal graph network for temporal action detection
Temporal action detection is usually divided into two stages: temporal action proposal generation and proposal classification. Most methods consider...
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Short- and long-term temporal network prediction based on network memory
Temporal networks are networks whose topology changes over time. Two nodes in a temporal network are connected at a discrete time step only if they...
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MBGNet:Multi-branch boundary generation network with temporal context aggregation for temporal action detection
Temporal action detection is an important and fundamental video understanding task that aims to locate the temporal regions where human actions or...
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Adaptive spatio-temporal graph convolutional network with attention mechanism for mobile edge network traffic prediction
In the current era of mobile edge networks, a significant challenge lies in overcoming the limitations posed by limited edge storage and...
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Spatial-temporal graph transformer network for skeleton-based temporal action segmentation
Temporal action segmentation (TAS) of minute-long untrimmed videos involves locating and classifying human action segments using multiple action...
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Enhanced edge convolution-based spatial-temporal network for network traffic prediction
Accurately predicting network traffic is helpful for improving a variety of spatial-temporal data mining applications, such as intelligent traffic...
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Denoised Temporal Relation Network for Temporal Action Segmentation
Temporal relations among action segments play a crucial role in temporal action segmentation. Existing methods tend to employ the graph neural...
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Robust Gait Recognition Based on Spatio-Temporal Fusion Network
The human gait sequence contains both spatial and temporal information, and the spatial and temporal information are restricted to different degrees...
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Temporal network analysis using zigzag persistence
This work presents a framework for studying temporal networks using zigzag persistence, a tool from the field of Topological Data Analysis (TDA). The...
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Memory Based Temporal Fusion Network for Video Deblurring
Video deblurring is one of the most challenging vision tasks because of the complex spatial-temporal relationship and a number of uncertainty factors...
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Multi-level spatial-temporal fusion neural network for traffic flow prediction
In urban system management and public safety, accurate traffic flow forecasting is pivotal for real-world applications such as traffic control,...
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TNSEIR: A SEIR pattern-based embedding approach for temporal network
Network embedding defines a set of techniques for learning the vector representations of nodes and links, which accurately encode the network in a...
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A probabilistic spatio-temporal neural network to forecast COVID-19 counts
Geo-referenced and temporal data are becoming more and more ubiquitous in a wide range of fields such as medicine and economics. Particularly in the...
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Multi-attention gated temporal graph convolution neural Network for traffic flow forecasting
Real-time and accurate traffic flow forecasting plays a crucial role in transportation systems and holds great significance for urban traffic...
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Identify spatio-temporal properties of network traffic by model checking
Cellular networks have been widely deployed and are under ever-growing pressure from increasing energy consumption. Identifying the spatio-temporal...
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SiamMAST: Siamese motion-aware spatio-temporal network for video action recognition
This paper proposes a Siamese motion-aware Spatio-temporal network ( SiamMAST ) for video action recognition. The SiamMAST is designed based on the...
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Probabilistic spatio-temporal graph convolutional network for traffic forecasting
Forecasting traffic flow is crucial for Intelligent Traffic Systems (ITS), traffic control, and traffic management systems. Complex spatial and...
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Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation
Skeleton-based Temporal Action Segmentation (TAS) plays an important role in analyzing long videos of motion-centered human actions. Recent...
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Digital audio tampering detection based on spatio-temporal representation learning of electrical network frequency
The majority of Digital Audio Tampering Detection (DATD) methods, which are based on Electrical Network Frequency (ENF), predominantly concentrate on...
