ABCP SC on AI and Cyber Security London Seminar: “Sketching” into the future of AI

Title

“Sketching” into the future of AI

Speaker

Professor Yi-Zhe Song (宋一晢教授), Professor of Computer Vision and Machine Learning & Co-Director of People-Centred AI Institute (PAI), University of Surrey; Forthcoming Director, UKRI CDT on Digital Media Inclusion

Chair

Professor Shujun Li (李树钧教授), Professor of Cyber Security & Director of Institute of Cyber Security for Society (iCSS), University of Kent; Vice President for IT & External Liaison / Co-Chair of Specialty Committee on AI and Cyber Security, ABCP

Language

The talk will be delivered in English and the discussion after 4pm may switch to Chinese if all participants can understand and speak Chinese.

Abstract

Humans sketch, from historic times in caves, to the time being by scribbling on phones and tablets. As Artificial Intelligence (AI) learns to see and perceive the world around us (aka computer vision), understanding how humans sketch plays an important and fundamental role in casting insights into the human visual system, and in turn informing AI model designs. This talk is all about sketches, summarising over a decade of research from the SketchX Research Lab at the University of Surrey. By the end, it hopes to convey how sketch research can inform the future of AI, both in terms of fundamental theory and applications that could revolutionise the status quo.

This talk will last for around 1 hour, followed by a 2-hour discussion and networking session for participants to know each other and discuss potential collaboration. After that, participants will move to a nearly Chinese restaurant for a social networking dinner.

Bio of Speaker

Yi-Zhe Song a Professor of Computer Vision and Machine Learning at the University of Surrey, where he leads the SketchX Lab. SketchX Lab has been honoured with a Best Paper Award Candidate at CVPR’23 and a Best Paper Award at BMVC’15. The lab’s vision is to understand how seeing can be explained by drawing, that is, how a better understanding of human sketch data can lead to insights about how human visual systems operate. He is an Associate Editor for two of the most significant journals in computer vision and machine learning – IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and International Journal of Computer Vision (IJCV). He is the forthcoming Director of the UKRI CDT on Digital Media Inclusion, and serves as a Co-Director of Surrey’s People-Centred AI Institute (PAI), UK’s leading AI research centre with 50+ core academics and 130+ AI Fellows. He is also the Turing Academic Lead for Surrey at the Alan Turing Institute (ATI). He founded and currently leads the MSc in AI programme at Surrey, having previously established an MSc in AI program at Queen Mary University of London.

How to Participate

This seminar will be organised as a hybrid event. The speaker and some participants will attend in person in London, but remote participants will be accommodated using the Zoom dial-in information below:

https://us06web.zoom.us/j/89338933132?pwd=KNnWmLQ1zXkcFMJraxHJgunRTwAbpc.1

Meeting ID: 893 3893 3132
Passcode: 952241

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Organising Committee

• Professor Tao Cheng (程涛教授), University College London (UCL)
• Dr Huanfa Chen (陈焕发博士), University College London (UCL)
• Professor Perry Xiao (肖蓬教授), London South Bank University (LSBU)
• Professor Xin Zhang (张新教授), University of Sheffield
• Professor Shujun Li (李树钧教授), University of Kent