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Mohamed Aly 0001

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affiliation: King Abdullah University of Science and Technology, Visual Computing Center, Thuwal, Saudi Arabia
affiliation (PhD 2011): Caltech, Computational Vision Lab, Pasadena, CA, USA

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2010 – 2019

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2018
[c9]
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  - conf/eccv/ZangAIWH18
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Guangming Zang, Mohamed Aly, Ramzi Idoughi, Peter Wonka, Wolfgang Heidrich:
Super-Resolution and Sparse View CT Reconstruction. ECCV (16) 2018: 145-161
2016
[c8]
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  - conf/semeval/NabilAA16
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Mahmoud Nabil, Amir F. Atiya, Mohamed Aly:
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification. SemEval@NAACL-HLT 2016: 52-57
[i3]
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Mohamed Aly, Guangming Zang, Wolfgang Heidrich, Peter Wonka:
TRex: A Tomography Reconstruction Proximal Framework for Robust Sparse View X-Ray Applications. CoRR abs/1606.03601 (2016)
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Mohamed Aly, Wolfgang Heidrich:
MindX: Denoising Mixed Impulse Poisson-Gaussian Noise Using Proximal Algorithms. CoRR abs/1608.07802 (2016)
2014
[i1]
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Mohamed Aly:
Real time Detection of Lane Markers in Urban Streets. CoRR abs/1411.7113 (2014)
2012
[c7]
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Mohamed Aly, Mario E. Munich, Pietro Perona:
CompactKdt: Compact signatures for accurate large scale object recognition. WACV 2012: 505-512
2011
[c6]
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Mohamed Aly, Mario E. Munich, Pietro Perona:
Distributed Kd-Trees for Ultra Large Scale Object Recognition. BMVC 2011: 1-11
[c5]
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Mohamed Aly, Mario E. Munich, Pietro Perona:
Bag of Words for Large Scale Object Recognition - Properties and Benchmark. VISAPP 2011: 299-306
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Mohamed Aly, Mario E. Munich, Pietro Perona:
Indexing in large scale image collections: Scaling properties and benchmark. WACV 2011: 418-425

2000 – 2009

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2009
[c3]
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Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona:
Towards automated large scale discovery of image families. CVPR Workshops 2009: 9-16
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Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona:
Scaling object recognition: Benchmark of current state of the art techniques. ICCV Workshops 2009: 2117-2124
[c1]
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Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona:
Automatic discovery of image families: Global vs. local features. ICIP 2009: 777-780

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