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Name: OLIVES @GATech
Type: Organization
Twitter: GhassanAlRegib
Location: Atlanta, GA
Blog: www.ghassanalregib.info
Name: OLIVES @GATech
Type: Organization
Twitter: GhassanAlRegib
Location: Atlanta, GA
Blog: www.ghassanalregib.info
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).
Power of Tempospatially Unified Spectral Density for Perceptual Video Quality Assessment
6DMG: A 6D Motion Gesture Dataset
Contains codes for our work on active learning on seismic interpretation.
This repository provides the code to train adaptive and robust filter sets using an unsupervised learning framework.
Repo contains codes for our paper on modeling visual attention for seismic fault interpretation.
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.
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.
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: Challenging Microscopic Material Surface Dataset
Code for generating Contrastive Explanations in Neural Networks published at ICIP 2020.
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: Challenging Unreal and Real Environments for Object Recognition
CURE-TSD: Challenging Unreal and Real Environments for Traffic Sign Detection
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition
A Python Package for Educational Image Processing
Code and data to for the paper "A Directional Coherence Attribute for Seismic Interpretation" published at SEG 2017.
Codes for paper "Distorted Representation Space Characterization Through Backpropagated Gradients", ICIP 2019
Codes and data for a manuscript in Interpretation Journal, Aug 2019
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.
Code for generating Explaining Representation Learning with Perceptual Components published at ICIP 2024.
Code used in the paper `Explanatory Paradigms in Neural Networks', published in the Signal Processing Magazine
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).
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.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.