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Found 4 papers, 1 papers with code
MDOE: A Spatiotemporal Event Representation Considering the Magnitude and Density of Events
Event-based sensors (e. g., DVS cameras) are capable of higher dynamic range, higher temporal resolution, lower time latency, and better power efficiency compared to conventional devices (e. g., RGB cameras).
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
The information fusion module captures the complex spatial-temporal dependency between regions.
POI Alias Discovery in Delivery Addresses using User Locations
People often refer to a place of interest (POI) by an alias.
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
We propose a deep-learning-based approach, called ST-ResNet, to collectively forecast two types of crowd flows (i. e. inflow and outflow) in each and every region of a city.
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