Motaz Alfarraj

Orcid: 0000-0002-6052-7221

According to our database1, Motaz Alfarraj authored at least 25 papers between 2016 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Explainable deep learning diagnostic system for prediction of lung disease from medical images.
Comput. Biol. Medicine, March, 2024

Contrastive-based YOLOv7 for personal protective equipment detection.
Neural Comput. Appl., February, 2024

Geology-constrained dynamic graph convolutional networks for seismic facies classification.
Comput. Geosci., February, 2024

Deep reinforcement learning with light-weight vision model for sequential robotic object sorting.
J. King Saud Univ. Comput. Inf. Sci., January, 2024

Real-Time Monitoring of Personal Protective Equipment Compliance in Surveillance Cameras.
IEEE Access, 2024

The KIND Dataset: A Social Collaboration Approach for Nuanced Dialect Data Collection.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Deep Seismic CS: A Deep Learning Assisted Compressive Sensing for Seismic Data.
IEEE Trans. Geosci. Remote. Sens., 2023

Facies-Guided Seismic Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

ESC-PAN: An Efficient CNN Architecture for Image Super-Resolution.
IEEE Access, 2023

Recursions Are All You Need: Towards Efficient Deep Unfolding Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Automatic Hajj and Umrah Ritual Detection Using IMU Sensors.
IEEE Access, 2022

Efficient Self-Calibrated Convolution for Real-Time Image Super-Resolution.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Meta-Optimization of Deep CNN for Image Denoising Using LSTM.
CoRR, 2021

2020
CoMMonS: Challenging Microscopic Material Surface Dataset.
Dataset, May, 2020

Facies-Mark: A Machine Learning Benchmark for Facies Classification.
Dataset, February, 2020

Fabric Surface Characterization: Assessment of Deep Learning-based Texture Representations Using a Challenging Dataset.
CoRR, 2020

2019
LANDMASS.
Dataset, October, 2019

Semi-supervised Sequence Modeling for Elastic Impedance Inversion.
CoRR, 2019

Characterization of migrated seismic volumes using texture attributes: a comparative study.
CoRR, 2019

Petrophysical property estimation from seismic data using recurrent neural networks.
CoRR, 2019

A Machine Learning Benchmark for Facies Classification.
CoRR, 2019

2018
Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective.
IEEE Signal Process. Mag., 2018

Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective.
CoRR, 2018

A comparative study of texture attributes for characterizing subsurface structures in seismic volumes.
CoRR, 2018

2016
Content-adaptive non-parametric texture similarity measure.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016


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