| Residential building facade segmentation in the urban environment M Dai, WOC Ward, G Meyers, DD Tingley, M Mayfield Building and Environment 199, 107921, 2021 | 43 | 2021 |
| A scalable data collection, characterization, and accounting framework for urban material stocks H Arbabi, M Lanau, X Li, G Meyers, M Dai, M Mayfield, D Densley Tingley Journal of Industrial Ecology 26 (1), 58-71, 2022 | 27 | 2022 |
| Estimating energy consumption of residential buildings at scale with drive-by image capture WOC Ward, X Li, Y Sun, M Dai, H Arbabi, DD Tingley, M Mayfield Building and Environment 234, 110188, 2023 | 11 | 2023 |
| Scalable Residential Building Geometry Characterisation Using Vehicle-Mounted Camera System M Dai, WOC Ward, H Arbabi, D Densley Tingley, M Mayfield Energies 15 (16), 6090, 2022 | 4 | 2022 |
| Initial investigations into using an ensemble of deep neural networks for building façade image semantic segmentation M Dai, G Meyers, DD Tingley, M Mayfield Remote Sensing Technologies and Applications in Urban Environments IV 11157 …, 2019 | 3 | 2019 |
| Measuring the Cityscape: A Pipeline from Street-Level Capture to Urban Quantification W Ward, M Dai, H Arbabi, Y Sun, D Tingley, M Mayfield IOP Conference Series: Earth and Environmental Science 1078 (1), 012036, 2022 | 1 | 2022 |
| Component-Level Residential Building Material Stock Characterization Using Computer Vision Techniques M Dai, J Jurczyk, H Arbabi, R Mao, W Ward, M Mayfield, G Liu, DD Tingley Environmental Science & Technology, 2024 | | 2024 |
| Characterising English residential housing using street view capture and deep learning techniques M Dai University of Sheffield, 2023 | | 2023 |
Danielle Densley TingleyThe University of SheffieldVerified email at sheffield.ac.uk
