Dr Nick Hawes

This list is no longer actively maintained, but I will leave it here for reference. For an up to date list, please see my new site at the University of Oxford.

[young17icra] Jay Young, Lars Kunze, Valerio Basile, Elena Cabrio, Nick Hawes and Barbara Caputo. Semantic Web-Mining and Deep Vision for Lifelong Object Discovery. In IEEE International Conference on Robotics and Automation (ICRA 2017). May 2017. [pdf] [bib]
Abstract. Autonomous robots that are to assist humans in their daily lives must recognize and understand the meaning of objects in their environment. However, the open nature of the world means robots must be able to learn and extend their knowledge about previously unknown objects on-line. In this work we investigate the problem of unknown object hypotheses generation, and employ a semantic web-mining framework along with deep-learning-based object detectors. This allows us to make use of both visual and semantic features in combined hypotheses generation. Experiments on data from mobile robots in real world application deployments show that this combination improves performance over the use of either method in isolation.
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