Event Details

Speaker: Yang Zhou

Title: Discovering Unknowns on Visual Data

Date: 9th December 2022

Time: 2:00pm - 3:00pm

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Abstract:

Unknown discovery refers to the novel information-seeking that plays a key role in autonomous robotic exploration in extreme environments, especially underwater and in space. The novel features can raise the interest and attention of agent to achieve human-like curiosity behaviour, which is beneficial to many applications such as unusual object discovery, landmarking and rare data collection, etc. Former methods, like saliency detection, require human labels with complicated procedures. With the development of deep learning on out-of-distribution feature detection, end-to-end unsupervised methods are potential solutions to detect unknown features and provide real-time navigation guidance to robots when interfering with the environment.

Bio: Yang Zhou received his MSc at the Department of Computer Science at Loughborough University in 2018 and is about to receive his PhD with EPSRC CDT-EI at Loughborough University. He is now taking a role as a KTP Research Associate with Loughborough University and MOA Technology Ltd, Oxford. His research interests include computer vision, pattern recognition and image processing. He published papers at conferences like ACCV and IEEE SMC, and Journals like Pattern Recognition.