Stephen Law
Orcid: 0000-0003-3184-572X
According to our database1,
Stephen Law
authored at least 24 papers
between 2015 and 2024.
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Bibliography
2024
Comput. Environ. Urban Syst., 2024
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.
CoRR, 2024
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction.
CoRR, 2024
Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction.
CoRR, 2024
2023
Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals.
Int. J. Geogr. Inf. Sci., December, 2023
Exploring 3D spatial morphology using multilayered space syntax, network science and wi-fi log data.
Urban Inform., 2023
CoRR, 2023
2022
Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery.
CoRR, 2022
2021
Proc. ACM Hum. Comput. Interact., 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
PhD thesis, 2020
Street-Frontage-Net: urban image classification using deep convolutional neural networks.
Int. J. Geogr. Inf. Sci., 2020
Justifying the Service Provided to Low Criticality Tasks in a Mixed Criticality System.
Proceedings of the 28th International Conference on Real Time Networks and Systems, 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
Learning from Discovering: An unsupervised approach to Geographical Knowledge Discovery using street level and street network images.
CoRR, 2019
An unsupervised approach to geographical knowledge discovery using street level and street network images.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019
Industrial Application of a Partitioning Scheduler to Support Mixed Criticality Systems.
Proceedings of the 31st Euromicro Conference on Real-Time Systems, 2019
2018
Proceedings of the 26th International Conference on Real-Time Networks and Systems, 2018
2017
Off the shortest path: Betweenness on street network level to study pedestrian movement.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
An application of convolutional neural network in street image classification: the case study of london.
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, 2017
2016
Proceedings of the 28th Euromicro Conference on Real-Time Systems, 2016
2015
Big Data Soc., December, 2015