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3d-curvature-analysis-of-seismic-waveforms-and-its-interpretational-implications

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).

3dpsd-vqa

Power of Tempospatially Unified Spectral Density for Perceptual Video Quality Assessment

6dmg

6DMG: A 6D Motion Gesture Dataset

active-learning-interpretation

Contains codes for our work on active learning on seismic interpretation.

adaptive-and-robust-filter-sets

This repository provides the code to train adaptive and robust filter sets using an unsupervised learning framework.

attention-fault-interpretation

Repo contains codes for our paper on modeling visual attention for seismic fault interpretation.

bless

Code for paper - D. Temel and G. AlRegib, “BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment “, the IEEE International Conference on Multimedia and Expo , Seattle, USA, Jul. 11-15, 2016.

boosting-in-iqa

Code for paper - D. Temel and G. AlRegib, "Boosting in image quality assessment," 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), Montreal, QC, 2016, pp. 1-6.

clinical-trial-active-learning

color-difference-for-iqa

Code for paper - D. Temel and G. AlRegib, "Image quality assessment and color difference," 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, GA, 2014, pp. 970-974.

commons

CoMMonS: Challenging Microscopic Material Surface Dataset

content-adaptive-non-parametric-texture-similarity-measure

contrastive-explanations

Code for generating Contrastive Explanations in Neural Networks published at ICIP 2020.

cross_predict

csv

Code for paper - D. Temel and G. AlRegib, “CSV: Image Quality Assessment Based on Color, Structure, and Visual System”, the Signal Processing: Image Communication Journal, vol.48, pp.92-103, October 2016

cure-or

CURE-OR: Challenging Unreal and Real Environments for Object Recognition

cure-tsd

CURE-TSD: Challenging Unreal and Real Environments for Traffic Sign Detection

cure-tsr

CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition

dippykit

A Python Package for Educational Image Processing

directional-coherence

Code and data to for the paper "A Directional Coherence Attribute for Seismic Interpretation" published at SEG 2017.

distorted-representation-characteriziation

Codes for paper "Distorted Representation Space Characterization Through Backpropagated Gradients", ICIP 2019

elastic-impedance-inversion-using-recurrent-neural-networks

Codes and data for a manuscript in Interpretation Journal, Aug 2019

estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-network

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.

explanatory-paradigms

Code used in the paper `Explanatory Paradigms in Neural Networks', published in the Signal Processing Magazine

facies_classification_benchmark

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).

facies_classification_weak_supervision

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).

fault-detection-using-color

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.

focal_dataset

gauss

Code repository for the paper

geophysics-2021-joint-learning-for-spatial-context-based-inversion

Contains codes for our paper titled ''Joint Learning for Spatial Context-based Seismic Inversion of Multiple Datasets for Improved Generalizability and Robustness" accepted to Geophysics.