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Muhammed T Razzak
Muhammed T Razzak
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Prioritized training on points that are learnable, worth learning, and not yet learnt
S Mindermann*, MT Razzak*, W Xu*, A Kirsch, M Sharma, A Morisot, ...
International Conference on Machine Learning, 15630-15649, 2022
82022
Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation
MT Razzak, G Mateo-García, G Lecuyer, L Gómez-Chova, Y Gal, ...
ISPRS Journal of Photogrammetry and Remote Sensing 195, 1-13, 2023
2023
MIMSS: A Dataset to evaluate Multi-Image Multi-Spectral Super-Resolution on Sentinel 2
MT Razzak, G Mateo-Garcia, G Lecuyer, L Gomez-Chova, Y Gal, ...
AI for Earth Science Workshop, ICLR 2022, 2022
2022
Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods
MT Razzak
Faculty of Engineering and the Built Environment, 2021
2021
Interactive Segmentation for Disaster Relief Mapping
M Razzak, K Sankaran
AI for Social Good Workshop, IJCAI, 2019
2019
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Articles 1–5