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Towards developing a realistic robotics simulation environment of an indoor vegetable greenhouse


Jul 29, 2021
Brent Van De Walker, Brendan Byrne, Joshua Near, Blake Purdie, Matthew Whatman, David Weales, Cole Tarry, Medhat Moussa

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An Image Labeling Tool and Agricultural Dataset for Deep Learning


Apr 06, 2020
Patrick Wspanialy, Justin Brooks, Medhat Moussa

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* 5 pages, 5 figures 

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Batch Normalization is a Cause of Adversarial Vulnerability


May 29, 2019
Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, Graham W. Taylor

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* To appear in the ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena 

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Predicting Adversarial Examples with High Confidence


Feb 13, 2018
Angus Galloway, Graham W. Taylor, Medhat Moussa

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* Under review by the International Conference on Machine Learning (ICML) 

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Attacking Binarized Neural Networks


Jan 31, 2018
Angus Galloway, Graham W. Taylor, Medhat Moussa

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* Published as a conference paper at ICLR 2018 

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An Integrated Simulator and Dataset that Combines Grasping and Vision for Deep Learning


Apr 17, 2017
Matthew Veres, Medhat Moussa, Graham W. Taylor

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The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment


Feb 18, 2017
Angus Galloway, Graham W. Taylor, Aaron Ramsay, Medhat Moussa

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* Submitted to the Conference on Computer and Robot Vision (CRV) 2017 

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Modeling Grasp Motor Imagery through Deep Conditional Generative Models


Jan 11, 2017
Matthew Veres, Medhat Moussa, Graham W. Taylor

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* Accepted for publication in Robotics and Automation Letters (RA-L) 

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