Georgios Georgiadis
Georgios Georgiadis
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Quickest search over multiple sequences
L Lai, HV Poor, Y Xin, G Georgiadis
IEEE Transactions on Information Theory 57 (8), 5375-5386, 2011
882011
Actionable Saliency Detection: Independent Motion Detection Without Independent Motion Estimation
G Georgiadis, A Ayvaci, S Soatto
CVPR, 2012
162012
Accelerating Convolutional Neural Networks via Activation Map Compression
G Georgiadis
CVPR, 2019
102019
Texture Representations for Image and Video Synthesis
G Georgiadis, A Chiuso, S Soatto
CVPR, 2015
102015
Texture Compression
G Georgiadis, A Chiuso, S Soatto
Data Compression Conference, 2013
62013
Quickest sequential opportunity search in multichannel systems
L Lai, HV Poor, Y Xin, G Georgiadis
Proc. Int. Workshop Applied Probability, 2010
42010
Scene-Aware Video Modeling and Compression
G Georgiadis, S Soatto
Data Compression Conference 29, 639-652, 2012
22012
Self-pruning neural networks for weight parameter reduction
W Deng, G Georgiadis
US Patent App. 15/894,921, 2019
1*2019
Methods and algorithms of reducing computation for deep neural networks via pruning
Z Ji, JW Brothers, D Weiran, G Georgiadis
US Patent App. 15/724,267, 2019
12019
A Mid-Level Representation of Visual Structures for Video Compression
G Georgiadis, S Soatto
WACV, 2016
12016
Exploiting Temporal Redundancy of Visual Structures for Video Compression
G Georgiadis, S Soatto
Data Compression Conference, 2015
12015
High-speed document sensing and misprint detection in digital presses
G Leseur, N Meunier, G Georgiadis, L Huang, J DiCarlo, BA Wandell, ...
IS&T/SPIE Electronic Imaging, 75360A-75360A-12, 2010
12010
Accelerating long short-term memory networks via selective pruning
G Georgiadis, W Deng
US Patent App. 16/844,572, 2020
2020
Lossless Compression of Neural Network Weights
G Georgiadis
US Patent App. 16/223,105, 2020
2020
Lossy Compression of Neural Network Activation Maps
G Georgiadis
US Patent App. 16/223,092, 2020
2020
Color image modification with approximation function
A Partin, KD Thurston III, G Georgiadis
US Patent App. 16/489,662, 2020
2020
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation
J Fang, A Shafiee, H Abdel-Aziz, D Thorsley, G Georgiadis, J Hassoun
arXiv preprint arXiv:2002.00104, 2020
2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
J Fang, A Shafiee, H Abdel-Aziz, D Thorsley, G Georgiadis, J Hassoun
2020
Lossless compression of sparse activation maps of neural networks
G Georgiadis
US Patent App. 16/046,993, 2019
2019
Accelerating long short-term memory networks via selective pruning
G Georgiadis, D Weiran
US Patent App. 15/937,558, 2019
2019
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