54 citations · 99 across the 8 of their papers we have counts for
9 papers
Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques
Emanuel Figetakis, Yahuza Bello, Ahmed Refaey +2
A sudden roadblock on highways due to many reasons such as road maintenance, accidents, and car repair is a common situation we encounter almost daily. Autonomous Vehicles (AVs) eq…
Towards developing a realistic robotics simulation environment of an indoor vegetable greenhouse
Brent Van De Walker, Brendan Byrne, Joshua Near +5
This article presents a method for developing a realistic robotics simulation environment for application in vegetable greenhouses. The method pipeline starts with the construction…
An Image Labeling Tool and Agricultural Dataset for Deep Learning
Patrick Wspanialy, Justin Brooks, Medhat Moussa
We introduce a labeling tool and dataset aimed to facilitate computer vision research in agriculture. The annotation tool introduces novel methods for labeling with a variety of ma…
Batch Normalization is a Cause of Adversarial Vulnerability
Angus Galloway, Anna Golubeva, Thomas Tanay +2
Batch normalization (batch norm) is often used in an attempt to stabilize and accelerate training in deep neural networks. In many cases it indeed decreases the number of parameter…
Predicting Adversarial Examples with High Confidence
Angus Galloway, Graham W. Taylor, Medhat Moussa
It has been suggested that adversarial examples cause deep learning models to make incorrect predictions with high confidence. In this work, we take the opposite stance: an overly…
Attacking Binarized Neural Networks
Angus Galloway, Graham W. Taylor, Medhat Moussa
Neural networks with low-precision weights and activations offer compelling efficiency advantages over their full-precision equivalents. The two most frequently discussed benefits…