Ali Mahdi
Orcid: 0000-0002-6522-051XAffiliations:
- Southern Illinois University, Department of Electrical and Computer Engineering, Carbondale, IL, USA
According to our database1,
Ali Mahdi
authored at least 8 papers
between 2015 and 2020.
Collaborative distances:
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Timeline
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on orcid.org
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Bibliography
2020
DeepFeat: A Bottom-Up and Top-Down Saliency Model Based on Deep Features of Convolutional Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2020
2019
An extensive evaluation of deep featuresof convolutional neural networks for saliency prediction of human visual attention.
J. Vis. Commun. Image Represent., 2019
Evaluation of bottom-up saliency model using deep features pretrained by deep convolutional neural networks.
J. Electronic Imaging, 2019
2018
IEEE Trans. Cogn. Dev. Syst., 2018
Bottom up saliency evaluation via deep features of state-of-the-art convolutional neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets.
CoRR, 2017
2015
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015