We stand with Ukraine

We stand with Ukraine

Mohamed Aly

Orcid: 0000-0002-5828-9148

Affiliations:

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

According to our database¹, Mohamed Aly authored at least 12 papers between 2009 and 2018.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2018

Super-Resolution and Sparse View CT Reconstruction.

[BibT_eX]

[DOI]

,

,

,

,

Wolfgang Heidrich

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

TRex: A Tomography Reconstruction Proximal Framework for Robust Sparse View X-Ray Applications.

[BibT_eX]

[DOI]

,

,

Wolfgang Heidrich

,

CoRR, 2016

MindX: Denoising Mixed Impulse Poisson-Gaussian Noise Using Proximal Algorithms.

[BibT_eX]

[DOI]

,

Wolfgang Heidrich

CoRR, 2016

CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification.

[BibT_eX]

[DOI]

,

,

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2014

Real time Detection of Lane Markers in Urban Streets.

[BibT_eX]

[DOI]

CoRR, 2014

2012

CompactKdt: Compact signatures for accurate large scale object recognition.

[BibT_eX]

[DOI]

,

Mario E. Munich

,

Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

2011

Indexing in large scale image collections: Scaling properties and benchmark.

[BibT_eX]

[DOI]

,

Mario E. Munich

,

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Bag of Words for Large Scale Object Recognition - Properties and Benchmark.

[BibT_eX]

,

Mario E. Munich

,

Proceedings of the VISAPP 2011, 2011

Distributed Kd-Trees for Ultra Large Scale Object Recognition.

[BibT_eX]

[DOI]

,

Mario E. Munich

,

Proceedings of the British Machine Vision Conference, 2011

2009

Automatic discovery of image families: Global vs. local features.

[BibT_eX]

[DOI]

,

,

Mario E. Munich

,

Proceedings of the International Conference on Image Processing, 2009

Scaling object recognition: Benchmark of current state of the art techniques.

[BibT_eX]

[DOI]

,

,

Mario E. Munich

,

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Towards automated large scale discovery of image families.

[BibT_eX]

[DOI]

,

,

Mario E. Munich

,

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

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