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09/10/2023
Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction
Predicting traffic incident risks at granular spatiotemporal levels is c...
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07/25/2023
Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN)
Urban road-based risk prediction is a crucial yet challenging aspect of ...
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04/08/2021
Re-designing cities with conditional adversarial networks
This paper introduces a conditional generative adversarial network to re...
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01/31/2021
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning
Cycling is a promising sustainable mode for commuting and leisure in cit...
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10/22/2019
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning
Extracting information related to weather and visual conditions at a giv...
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09/10/2018
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision
Within the burgeoning expansion of deep learning and computer vision acr...
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08/14/2018