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Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
Yunyan Xing, Zongyuan Ge, Rui Zeng +4
Recent works show that Generative Adversarial Networks (GANs) can be successfully applied to chest X-ray data augmentation for lung disease recognition. However, the implausible an…
Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning
W. T. Nash, C. J. Powell, T. Drummond +1
The automated detection of corrosion from images (i.e., photographs) or video (i.e., drone footage) presents significant advantages in terms of corrosion monitoring. Such advantage…
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
Gil Avraham, Yan Zuo, Thanuja Dharmasiri +1
Continuously estimating an agent's state space and a representation of its surroundings has proven vital towards full autonomy. A shared common ground among systems which successfu…
Embracing Contact: Pushing Multiple Objects with Robot's Forearm
Akansel Cosgun, Luke Ditria, Shayne D'Lima +1
Grasping is the dominant approach for robot manipulation, but only a single object can be grasped at a time. Nonprehensile manipulation offers richer set of interactions, however s…
Practical Robot Learning from Demonstrations using Deep End-to-End Training
Akansel Cosgun, Thomas Rowntree, Ian Reid +1
Robots need to learn behaviors in intuitive and practical ways for widespread deployment in human environments. To learn a robot behavior end-to-end, we train a variant of the ResN…
Learning to Take Good Pictures of People with a Robot Photographer
Rhys Newbury, Akansel Cosgun, Mehmet Koseoglu +1
We present a robotic system capable of navigating autonomously by following a line and taking good quality pictures of people. When a group of people are detected, the robot rotate…