Muhammed T Razzak
Muhammed T Razzak
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Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
S Mindermann*, JM Brauner*, MT Razzak*, M Sharma*, A Kirsch, W Xu, ...
International Conference on Machine Learning, 15630-15649, 2022
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
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
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
M Razzak, G Mateo-Garcia, L Gómez-Chova, Y Gal, F Kalaitzis
arXiv preprint arXiv:2111.03231, 2021
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
Interactive Segmentation for Disaster Relief Mapping
M Razzak, K Sankaran
AI for Social Good Workshop, IJCAI, 2019
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