Motaz Alfarraj

Orcid: 0000-0002-6052-7221

According to our database1, Motaz Alfarraj authored at least 29 papers between 2016 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Listen to your gradients: Integrating gradients into deep unfolding networks.
Pattern Recognit. Lett., 2025

Interpretable Deep Learning for Classifying Skin Lesions.
Int. J. Intell. Syst., 2025

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

Advancing Colorectal Polyp Segmentation With Watershed Algorithm-Enhanced Parallel Self-Supervised Learning.
Proceedings of the IEEE International Conference on Image Processing, 2024

Object-Aware Adaptive Image Retargeting Via Importance Map Fusion.
Proceedings of the IEEE International Conference on Image Processing, 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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