Deep learning provides state-of-the-art solutions in several fields including computer vision. In this talk, I’ll review different deep learning architectural components (dubbed “DeepLegos”) and their organisation into neural network architectures, focussing on computer vision literature in the past few years. I’ll also present some embodiments via recent examples in computational photography to help contextualise the work.
About the speaker
Greg Slabaugh is Professor of Computer Vision and AI, and director of Queen Mary’s Digital Environment Research Institute (DERI). DERI brings together researchers from across humanities and social sciences, medicine and dentistry, and science and engineering to drive new multi-disciplinary research in data science and applications of digital technologies. Greg is a Fellow of the Alan Turing Institute, Senior Member of IEEE, and Area Chair for recent/upcoming conferences such as the International Conference on Computer Vision 2021 and the AAAI Conference on Artificial Intelligence 2022.
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