Discover olivesgatech/VIPCUP2023_OLIVES Open Source project

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This repository provides starter code and recommendations for starting the VIP CUP 2023 competition.

CURE-TSD

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

TA3N

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Python

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.

Python

gradcon-anomaly

Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"

Python

CURE-TSR

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

Python

OLIVES_Dataset

Python

Multiresolution-Analysis-and-Learning-for-Computational-Seismic-Interpretation

MATLAB

active-learning-interpretation

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

Python

Geophysics2018_structure_label_prediction

Codes for the paper: Y. Alaudah, M. Alfarraj, and G. AlRegib, "Structure Label Prediction Using Similarity-Based Retrieval and Weakly-Supervised Label Mapping," in Geophysics, 2018.

TS-LSTM-and-Temporal-Inception

Code for TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

Lua

attention-fault-interpretation

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

Jupyter Notebook

HeartBEAT

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.

MATLAB

Multiscale-fusion-for-seismic-geometric-attribute-enhancement

Codes for an abstract presented in SEG2017

MATLAB

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.

MATLAB

CoMMonS

CoMMonS: Challenging Microscopic Material Surface Dataset

Introspective-Learning

This repository consists the code for the paper titled Introspective Learning : A Two-Stage Approach for Inference in Neural Networks

Python

ReSIFT

Code for paper - D. Temel and G. AlRegib, "ReSIFT: Reliability-weighted sift-based image quality assessment," 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016, pp. 2047-2051.

MATLAB

Spatial-Pooling-in-IQA

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.

MATLAB

CURE-OR

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

Python

Content-Adaptive-Non-Parametric-Texture-Similarity-Measure

MATLAB

textureclassification_MULTER_ICIP2019

Python

SUMMER

Code for paper - D. Temel and G. AlRegib, “Perceptual Image Quality Assessment through Spectral Analysis of Error Representations ,” Signal Processing: Image Communication, Volume 70, 2019, Pages 37-46.

MATLAB

MS-UNIQUE

This is a demonstration of the algorithm described in the paper "MS-UNIQUE: Multi Model and Sharpness Weighted Unsupervised Image Quality Estimation". Given an original and a distorted image, MS-UNIQUE gives out a score that approximates the perceptual quality of the distorted image.

MATLAB

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).

SSSI

Seismic Simulation, Survey, and Imaging (S3I)

LANDMASS

Large North-Sea Dataset of Migrated Aggregated Seismic Structures (LANDMASS)

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).

Python

Semantic-Autoencoder

This repository provides the code to train and classify sparse autoencoder weights based on their semantic meaning.

MATLAB

Clinical-Trial-Active-Learning

Python

implicit-background-estimation

Implicit Background Estimation for Semantic Segmentation

Python

directional-coherence

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

MATLAB

textureclassification_BIGD_SPIC2020

Texture classification based on block intensity and gradient difference (BIGD) descriptor

SupCon_OCT_Clinical

Python

Ramifications-HLU

[NeurIPSW 2022] On the Ramifications of Human Label Uncertainty

Python

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.

MATLAB

Explanatory-Paradigms

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

Python

SaliencyUncertainty_TIP2018

Code for the paper - T. Alshawi, Z. Long, and G. AlRegib, “Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection,” IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2818-2827, Jun. 2018.

MATLAB

TrajPRed

[T-ITS 2024] TrajPRed: Trajectory Prediction with Region-based Relation Learning

Python

Adaptive-and-Robust-Filter-Sets

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

MATLAB

SeismicSaliency_ICASSP2016

Code for paper - M. Shafiq, T. Alshawi, Z. Long, and G. AlRegib, "SalSi: A New Seismic Attribute For Salt Dome Detection," IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, Mar. 20-25, 2016.

MATLAB

textureclassification_CLDP_ICIP2016

Code for "Completed Local Derivative Pattern for Rotation Invariant Texture Classification" (ICIP2016)

MATLAB

PerSIM

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.

MATLAB

olives_website

olives website repository

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

C++

3DPSD-VQA

Power of Tempospatially Unified Spectral Density for Perceptual Video Quality Assessment

MATLAB

salt_interpretation_tool

Salt Dome Interpretation Tool

scribe-robustness-overfit

Jupyter Notebook

ML_codes_repo

Contains exercises for ML topics in the short ML course.

Jupyter Notebook

SeismicSaliency_ICIP2017

Code for paper - M. A. Shafiq, Z. Long, T. Alshawi, and G. AlRegib, “Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017.

MATLAB

UNIQUE-Project-Repository

This repository contains the training, testing, and demo codes for the paper - UNIQUE : Unsupervised Image Quality Estimation

MATLAB

SeismicSaliency_GP2018

Code for the paper - M. Shafiq, T. Alshawi, Z. Long, and G. AlRegib, “The role of visual saliency in the automation of seismic interpretation,” Geophysical Prospecting, vol. 66, issue S1, pp. 132-143, Mar. 2018.

MATLAB

distorted-representation-characteriziation

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

Python

UNIQUE-Unsupervised-Image-Quality-Estimation

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.

MATLAB

olivesgatech/VIPCUP2023_OLIVES

olivesgatech

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