Search Results for author: Jason Thompson

Found 9 papers, 4 papers with code

Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning

1 code implementation18 Sep 2023 Xinye Wanyan, Sachith Seneviratne, Kerry Nice, Jason Thompson, Marcus White, Nano Langenheim, Mark Stevenson

The annotation of segmentation tasks, especially labeling remote sensing images with specialized requirements, is very expensive, so we aim to introduce a pipeline requiring less labeled data.

Representation Learning Self-Supervised Learning

DALLE-URBAN: Capturing the urban design expertise of large text to image transformers

1 code implementation3 Aug 2022 Sachith Seneviratne, Damith Senanayake, Sanka Rasnayaka, Rajith Vidanaarachchi, Jason Thompson

However, a detailed analysis capturing the capabilities of such models, specifically with a focus on the built environment, has not been performed to date.

Identifying safe intersection design through unsupervised feature extraction from satellite imagery

no code implementations29 Oct 2020 Jasper S. Wijnands, Haifeng Zhao, Kerry A. Nice, Jason Thompson, Katherine Scully, Jingqiu Guo, Mark Stevenson

The World Health Organization has listed the design of safer intersections as a key intervention to reduce global road trauma.

Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks

no code implementations15 Oct 2019 Jasper S. Wijnands, Jason Thompson, Kerry A. Nice, Gideon D. P. A. Aschwanden, Mark Stevenson

Phone applications reduce the need for specialised hardware and hence, enable a cost-effective roll-out of the technology across the driving population.

Action Recognition Optical Flow Estimation

The 'Paris-end' of town? Urban typology through machine learning

no code implementations8 Oct 2019 Kerry A. Nice, Jason Thompson, Jasper S. Wijnands, Gideon D. P. A. Aschwanden, Mark Stevenson

A (novel) neural network-based framework is trained with imagery from the largest 1692 cities in the world and the resulting models are used to compare within-city locations from Melbourne and Sydney to determine the closest connections between these areas and their international comparators.

BIG-bench Machine Learning

Streetscape augmentation using generative adversarial networks: insights related to health and wellbeing

no code implementations14 May 2019 Jasper S. Wijnands, Kerry A. Nice, Jason Thompson, Haifeng Zhao, Mark Stevenson

Deep learning using neural networks has provided advances in image style transfer, merging the content of one image (e. g., a photo) with the style of another (e. g., a painting).

Style Transfer

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