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Patents
[11] J. Fang, A. Shafiee, H. Abdel-Aziz, D. Thorsley, G. Georgiadis, J. Hassoun, “Post-Training Piecewise Linear Quantization for Deep Neural Networks ”, US Patent App. 16/816,247, 2021.
[10] E. Sakhaee, L. Liu, G. Georgiadis, “Near-Infrared Spectroscopy (NIR) based Glucose Prediction Using Deep Learning”, US Patent App. 16/402,204, 2020.
[9] G. Georgiadis, W. Deng, “Jointly Pruning and Quantizing Neural Networks”, US Patent App. 17/943,176, 2023.
[8] G. Georgiadis, “Lossy Compression of Neural Network Activation Maps”, US Patent App. 16/223,092, 2020.
[7] G. Georgiadis, “Lossless Compression of Neural Network Weights”, US Patent App. 16/223,092 , 2020.
[6] G. Georgiadis, “Lossless Compression of Sparse Activation Maps of Neural Networks”, US Patent App. 16/046,993, 2019.
[5] G. Georgiadis, W. Deng, “Accelerating Long Short-Term Memory Networks via Selective Pruning”, US Patent App. 16/223,105, 2020.
[4] W. Deng, G. Georgiadis, “Self-Pruning Neural Networks for Weight Parameter Reduction”, Patent Pending, 2017.
[3] Z. Ji, J.W. Brothers, W. Deng, G. Georgiadis, “Methods and Algorithms for Reducing Computation for Deep Neural Networks via Pruning”, US Patent App. 15/724,267, 2019.
[2] A. Partin, G. Georgiadis, K. Thurston, “Color Image Modification with Approximation Function”, US Patent App. 16/489,662, 2020.
[1] N. Xu, G.Georgiadis, J. Crenshaw, “Coherent Motion Estimation for Stereoscopic Video”, U.S. Provisional Patent Appl. 62/128,399, March 4, 2015.
Publications
Journals
[1] L. Lai, H. V. Poor, Y. Xin and G. Georgiadis, “Quickest search over multiple sequences”, IEEE Transactions on Information Theory, 2011 [pdf].
Conferences
[11] J. Fang, A. Shafiee, H. Abdel-Aziz, D. Thorsley, G. Georgiadis, J. Hassoun, “Post-Training Piecewise Linear Quantization
for Deep Neural Networks ”, European Computer Vision Association, 2020 [pdf].
[10] G. Georgiadis, “Accelerating Convolutional Neural Networks via Activation Map Compression”, IEEE Conference on Computer Vision and Pattern Recognition, 2019 [pdf].
[9] G. Georgiadis, S. Soatto, “A Mid-Level Representation of Visual Structures for Video Compression”, IEEE Winter Conference on Applications of Computer Vision, 2016 [pdf].
[8] G. Georgiadis, A. Chiuso, S. Soatto, “Texture Representations for Image and Video Synthesis”, IEEE Conference on Computer Vision and Pattern Recognition, 2015 [pdf].
[7] G. Georgiadis, S. Soatto, “Exploiting Temporal Redundancy of Visual Structures for Video Compression”, Data Compression Conference, 2015 [pdf].
[6] G. Georgiadis, A. Chiuso, S. Soatto, “Texture Compression”, Data Compression Conference, 2013 (oral presentation) [pdf].
[5] G. Georgiadis, A. Ravichandran, S. Soatto and A. Chiuso, “Encoding Scene Structures for Video Compression”, Proc. SPIE Int. Soc. Opt. Eng. 8499, 2012 (oral presentation) [pdf].
[4] G. Georgiadis, A. Ayvaci and S. Soatto, “Actionable Saliency Detection: Independent Motion Detection Without Independent Motion Estimation”, IEEE Conference on Computer Vision and Pattern Recognition, 2012 [pdf].
[3] G. Georgiadis and S. Soatto, “Scene-Aware Video Modeling and Compression”, Data Compression Conference, 2012 (oral presentation) [pdf].
[2] L. Lai, H. V. Poor, Y. Xin and G. Georgiadis, “Quickest Sequential Opportunity Search in Multichannel Systems”, International Workshop on Applied Probability (IWAP), 2010 (Invited) [pdf].
[1] G. Leseur, N. Meunier, G. Georgiadis, L. Huang, J. DiCarlo, B. Wandell and P. B. Catrysse, “High-speed document sensing and misprint detection in digital presses”, Proc. SPIE Int. Soc. Opt. Eng. 7536, 2010 (oral presentation) [pdf].
Theses
[2] G. Georgiadis, “Scene Representations for Video Compression”, PhD Thesis at University of California, Los Angeles, 2015 [pdf].
[1] Georgios Georgiadis, “Parametric modelling and control of hybrid vehicles”, Final year dissertation at Imperial College, 2008.
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