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Muhammad Mubashar
Muhammad Mubashar
Oxford Brookes University
Verified email at brookes.ac.uk
Title
Cited by
Cited by
Year
Past vector similarity for short term electrical load forecasting at the individual household level
H Mansoor, H Rauf, M Mubashar, M Khalid, N Arshad
IEEE Access 9, 42771-42785, 2021
142021
Have we solved edge detection? A Review of state-of-the-art datasets and DNN based techniques
M Mubashar, N Khan, AR Sajid, MH Javed, NU Hassan
IEEE Access 10, 70541-70552, 2022
42022
Random-set convolutional neural network (rs-cnn) for epistemic deep learning
SK Manchingal, M Mubashar, K Wang, K Shariatmadar, F Cuzzolin
arXiv preprint arXiv:2307.05772, 2023
32023
Class-agnostic segmentation loss and its application to salient object detection and segmentation
A Sharma, N Khan, M Mubashar, G Sundaramoorthi, P Torr
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning
S Kudukkil Manchingal, M Mubashar, K Wang, K Shariatmadar, ...
arXiv e-prints, arXiv: 2307.05772, 2023
2023
Supplementary Material: Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
A Sharma, N Khan, M Mubashar, G Sundaramoorthi, P Torr
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Articles 1–6