In this talk, I will give a brief introduction to Generative Adversarial Networks (GAN), a major deep generative model that has recently achieved great success in both academia and industry, and its applications in visual content creation (with a focus on image editing and manipulation). As the audience will be mathematical experts and may not have sufficient background knowledge of deep learning and computer vision, this talk will emphasise more on general ideas and avoid introducing too much detail and domain-specific terminology.
Yipeng Qin is a Lecturer in the School of Computer Science and Informatics at Cardiff University (UK), and a member of the Visual Computing research group. He received his PhD in Computer Science from National Centre for Computer Animation (NCCA) at Bournemouth University, in 2017 and B.Eng. in Electrical Engineering from Shanghai Jiao Tong University, China in 2013.
His research interests are centred around machine learning and its applications in computer vision, computer graphics, human-computer interactions, etc. His current research revolves around the following three themes:i) unboxing the deep learning black-box, ii) creative artificial intelligence, and iii) prototyping wearable devices for motion monitoring and analysis.