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
Self-supervised learning unveils urban change from street-level images.
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

Self-supervised learning unveils change in urban housing from street-level images.
CoRR, 2023

2022
Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery.
CoRR, 2022

2021
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data.
Proc. ACM Hum. Comput. Interact., 2021

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Advancing mixed criticality scheduling techniques to support industrial applications
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
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices.
ACM Trans. Intell. Syst. Technol., 2019

Adversarial Perturbations on the Perceptual Ball.
CoRR, 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
TACO: An industrial case study of Test Automation for COverage.
Proceedings of the 26th International Conference on Real-Time Networks and Systems, 2018

2017
Urban Analytics: Multiplexed and Dynamic Community Networks.
CoRR, 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
Achieving Appropriate Test Coverage for Reliable Measurement-Based Timing Analysis.
Proceedings of the 28th Euromicro Conference on Real-Time Systems, 2016

2015
Connected or informed?: Local Twitter networking in a London neighbourhood.
Big Data Soc., December, 2015


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