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Deep Learning for Computational Photography



Staff, Students, Academics

Research Centre: Research Centre for Machine Learning

Speaker: Dr Greg Slabaugh


Recent advances in deep learning have shown incredible progress in computer vision -- in some tasks, even exceeding human performance. Methods involving convolutional neural networks and generative adversarial networks have advanced the state-of-the-art in important problems in digital photography including denoising, automatic white balance, super-resolution, and more.  In this talk I will describe the image signal processing pipeline (ISP) commonly used to create digital photographs, and recent advances in applying deep learning for image formation and enhancement.


Dr Greg Slabaugh is Chief Scientist in Computer Vision (Europe) for Huawei Technologies Research and Development. He has a broad background in computer vision and medical image computing. He earned a PhD (highest honours) in Electrical Engineering from Georgia Institute of Technology in Atlanta, USA. Previous appointments include positions in academia and industry, including City, University of London, Medicsight, and Siemens. He holds 36 granted patents and has over 125 scientific publications in computer vision.

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When and where

5.00pm - 6.00pmFriday 8th March 2019

AG21 College Building City, University of London St John Street London EC1V 4PB United Kingdom