The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (accepted for publication in the SEG Interpretation Journal, May 2019).
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "Facies Classification with Weak and Strong Supervision -- A Comparative Study" (accepted for publication in the SEG Extended abstracts, May 2019).
This is a demonstration of the algorithm described in the paper "UNIQUE: Unsupervised Image Quality Estimation". Given an original and a distorted image, UNIQUE gives out a score that approximates the perceptual quality of a distorted image.
The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.
Codes and data from the journal paper: H. Di, M. Alfarraj, and G. AlRegib. "Three‐dimensional curvature analysis of seismic waveforms and its interpretational implications." Geophysical Prospecting (2018).
Code for paper - H. Pan, D. Temel and G. AlRegib, "HeartBEAT: Heart beat estimation through adaptive tracking," 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Las Vegas, NV, 2016, pp. 587-590.
Code for paper - Z. Wang, D. Temel and G. AlRegib, "Fault detection using color blending and color transformations," 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, 2014, pp. 999-1003.
Code for paper - D. Temel and G. AlRegib, "A comparative study of quality and content-based spatial pooling strategies in image quality assessment," 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, FL, 2015, pp. 732-736.
Code for paper - D. Temel and G. AlRegib, "PerSIM: Multi-resolution image quality assessment in the perceptually uniform color domain," 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, 2015, pp. 1682-1686.