Zeina Sinno

Orcid: 0000-0003-4895-7744

Affiliations:
  • University of Texas at Austin, Austin, TX, USA


According to our database1, Zeina Sinno authored at least 13 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2020
Quality Measurement of Images on Mobile Streaming Interfaces Deployed at Scale.
IEEE Trans. Image Process., 2020

2019
Large-Scale Study of Perceptual Video Quality.
IEEE Trans. Image Process., 2019

Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality.
IEEE Trans. Image Process., 2019

Spatio-Temporal Measures Of Naturalness.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Towards a Closed Form Second-Order Natural Scene Statistics Model.
IEEE Trans. Image Process., 2018

On the Natural Statistics of Chromatic Images.
Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

Quality Assessment of Thumbnail and Billboard Images on Mobile Devices.
Proceedings of the 2018 Picture Coding Symposium, 2018

Large Scale Subjective Video Quality Study.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Second Order Natural Scene Statistics Model of Blind Image Quality Assessment.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
The obesity paradox in ICU patients.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Relating spatial and spectral models of oriented bandpass natural images.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

2015
Generalizing a closed-form correlation model of oriented bandpass natural images.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Real-time 3D rotation smoothing for video stabilization.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014


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