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Alzayat Saleh
Alzayat Saleh
Postdoctoral Research Fellow, James Cook University
Подтвержден адрес электронной почты в домене my.jcu.edu.au - Главная страница
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Процитировано
Год
A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
A Saleh, IH Laradji, DA Konovalov, M Bradley, D Vazquez, M Sheaves
Scientific Reports 10 (1), 14671, 2020
1472020
Computer vision and deep learning for fish classification in underwater habitats: A survey
A Saleh, M Sheaves, M Rahimi Azghadi
Fish and Fisheries 23 (4), 977-999, 2022
972022
Automatic weight estimation of harvested fish from images
DA Konovalov, A Saleh, DB Efremova, JA Domingos, DR Jerry
2019 Digital image computing: Techniques and applications (DICTA), 1-7, 2019
862019
Underwater fish detection with weak multi-domain supervision
DA Konovalov, A Saleh, M Bradley, M Sankupellay, S Marini, M Sheaves
2019 international joint conference on neural networks (ijcnn), 1-8, 2019
612019
Applications of deep learning in fish habitat monitoring: A tutorial and survey
A Saleh, M Sheaves, D Jerry, MR Azghadi
Expert Systems with Applications 238, 121841, 2024
412024
Estimating mass of harvested Asian seabass Lates calcarifer from images
DA Konovalov
World Journal of Engineering and Technology 6 (03), 15, 2018
392018
Weakly supervised underwater fish segmentation using affinity LCFCN
IH Laradji, A Saleh, P Rodriguez, D Nowrouzezahrai, MR Azghadi, ...
Scientific reports 11 (1), 1-10, 2021
372021
Adaptive uncertainty distribution in deep learning for unsupervised underwater image enhancement
A Saleh, M Sheaves, D Jerry, MR Azghadi
arXiv preprint arXiv:2212.08983, 2022
302022
A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
A Saleh, IH Laradji, C Lammie, D Vazquez, CA Flavell, MR Azghadi
IEEE Journal of Biomedical and Health Informatics 25 (10), 3865-3873, 2021
182021
Affinity lcfcn: Learning to segment fish with weak supervision
I Laradji, A Saleh, P Rodriguez, D Nowrouzezahrai, MR Azghadi, ...
arXiv preprint arXiv:2011.03149, 2020
142020
Transformer-based self-supervised fish segmentation in underwater videos
A Saleh, M Sheaves, D Jerry, MR Azghadi
arXiv preprint arXiv:2206.05390, 2022
122022
MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection
A Saleh, D Jones, D Jerry, MR Azghadi
Aquatic Ecology 57 (4), 913-931, 2023
92023
Unsupervised fish trajectory tracking and segmentation
A Saleh, M Sheaves, D Jerry, MR Azghadi
arXiv preprint arXiv:2208.10662, 2022
72022
Prawn morphometrics and weight estimation from images using deep learning for landmark localization
A Saleh, MM Hasan, HW Raadsma, MS Khatkar, DR Jerry, MR Azghadi
Aquacultural Engineering 106, 102391, 2024
62024
Precise robotic weed spot-spraying for reduced herbicide usage and improved environmental outcomes--a real-world case study
MR Azghadi, A Olsen, J Wood, A Saleh, B Calvert, T Granshaw, E Fillols, ...
arXiv preprint arXiv:2401.13931, 2024
62024
Adaptive uncertainty distribution in deep learning for unsupervised underwater image enhancement. arXiv 2022
A Saleh, M Sheaves, D Jerry, MR Azghadi
arXiv preprint arXiv:2212.08983, 0
6
A lightweight Transformer-based model for fish landmark detection
A Saleh, D Jones, D Jerry, MR Azghadi
arXiv preprint arXiv:2209.05777, 2022
52022
How to track and segment fish without human annotations: a self-supervised deep learning approach
A Saleh, M Sheaves, D Jerry, M Rahimi Azghadi
Pattern Analysis and Applications 27 (1), 4, 2024
32024
Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization
A Saleh, MM Hasan, HW Raadsma, MS Khatkar, DR Jerry, MR Azghadi
arXiv preprint arXiv:2307.07732, 2023
22023
Developing deep learning methods for aquaculture applications
A Saleh
James Cook University, 2020
12020
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