OLIVES @GATech

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

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.

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).

gradcon-anomaly

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

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

OLIVES_Dataset

Semi-supervised-Learning-for-Acoustic-Impedance-Inversion

Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstracts of the SEG Annual Meeting, Sep. 15-20 2019.

TA3N

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

olivesgatech/TA3N

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

olivesgatech/CURE-TSR

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

olivesgatech/OLIVES_Dataset

olivesgatech/active-learning-interpretation

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

olivesgatech/attention-fault-interpretation

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

olivesgatech/Introspective-Learning

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

olivesgatech/Clinical-Trial-Active-Learning

olivesgatech/PointPrompt

[IEEE BigData'24] Code used in Paper "Benchmarking Human and Automated Prompting in the Segment Anything Model"

olivesgatech/Ramifications-HLU

[NeurIPSW 2022] On the Ramifications of Human Label Uncertainty

olivesgatech/SupCon_OCT_Clinical

olivesgatech/TrajPRed

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

olivesgatech/6DMG

6DMG: A 6D Motion Gesture Dataset

olivesgatech/GradTrust

[MIPR 2024 Invited] Code for the paper: Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks

olivesgatech/olives_website

olives website repository

olivesgatech/VIPCUP2023_OLIVES

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

olivesgatech/cross_predict

olivesgatech/gauss

Code repository for the paper

olivesgatech/TULIP

This is the code for the ICML 2024 publication.

olivesgatech/CRACKS

olivesgatech/DARai

olivesgatech/Explaining-Representation-Learning-with-Perceptual-Components

Code for generating Explaining Representation Learning with Perceptual Components published at ICIP 2024.

olivesgatech/FOCAL_Dataset

olivesgatech/HEX

olivesgatech/Intelligent-Multi-View-TTA

Code for generating the results in Intelligent Multi-View Test Time Augmentation published at ICIP 2024.

olivesgatech/Patient-Aware-Active-Learning

A modular plug-in method that integrates patient awareness into an active learning paradigm

olivesgatech/RoSE

Targeting Negative Flips in Active Learning using Validation Set

olivesgatech/SAM-FunML-sp24

SAM-based prompting tool for student project

olivesgatech/SHAPE

[ICIP 2024] SHifted Adversaries using Pixel Elimination(SHAPE)

olivesgatech/Stochastic-Surprisal

olivesgatech/VOICE-Uncertainty

[J-STSP Special Issue] VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability