Alireza Tavakkoli

Affiliations:
  • University of Nevada, Reno, USA


According to our database1, Alireza Tavakkoli authored at least 73 papers between 2005 and 2024.

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Bibliography

2024
A Novel Spatial Data Pipeline for Orchestrating Apache NiFi/MiNiFi.
Int. J. Softw. Innov., 2024

MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer.
CoRR, 2024

2023
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation.
CoRR, 2023

Orchestrating Apache NiFi/MiNiFi within a Spatial Data Pipeline.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Latent Diffusion Based Multi-class Anomaly Detection.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

Investigating the Impact of Attention on Mammogram Classification.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Using Action Cameras to Collect Tree Measurements.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A comprehensive survey of the approaches for pathway analysis using multi-omics data integration.
Briefings Bioinform., November, 2022

Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks.
Proceedings of the Applications of Medical Artificial Intelligence, 2022

VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

ConnectedUNets++: Mass Segmentation from Whole Mammographic Images.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection Using BiLSTM.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

A Game Theoretical Vulnerability Analysis of Adversarial Attack.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

THURSDAY: A Web Platform to Support AutoML.
Proceedings of the 9th International Conference on Applied Computing & Information Technology, 2022

2021
ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks.
CoRR, 2021

Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective.
CoRR, 2021

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.
CoRR, 2021

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers.
CoRR, 2021

RV-GAN : Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks.
CoRR, 2021

RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Classification of RIGID and Non-Rigid Transformations with Autoencoder Representations.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

3D Unclonable Optical Identity for Universal Product Verification.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

2020
Deep Learning-Based Feature Silencing for Accurate Concrete Crack Detection.
Sensors, 2020

Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography.
CoRR, 2020

A Mixed Reality System for Modeling Perceptual Deficit to Correct Neural Errors and Recover Functional Vision.
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

An Immersive Virtual Environment for Teleoperation of Remote Robotic Agents for Everyday Applications in Prohibitive Environments.
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Control Framework for a Hybrid-steel Bridge Inspection Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Robustness Using Joint Attention Network for Detecting Retinal Degeneration From Optical Coherence Tomography Images.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization.
Proceedings of the Advances in Visual Computing, 2019

An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications.
Proceedings of the Advances in Visual Computing, 2019

Concrete Crack Pixel Classification Using an Encoder Decoder Based Deep Learning Architecture.
Proceedings of the Advances in Visual Computing, 2019

A Parametric Perceptual Deficit Modeling and Diagnostics Framework for Retina Damage Using Mixed Reality.
Proceedings of the Advances in Visual Computing, 2019

Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
A Non-Parametric Framework for Object Tracking in Videos with Quasi-Stationary Backgrounds.
PhD thesis, 2018

VETO: An Immersive Virtual Environment for Tele-Operation.
Robotics, 2018

Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

GPU Accelerated Non-Parametric Background Subtraction.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Accurate and Efficient Non-Parametric Background Detection for Video Surveillance.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

2017
A Robust and intuitive 3D interface for teleoperation of autonomous robotic agents through immersive virtual reality environments.
Proceedings of the 2017 IEEE Symposium on 3D User Interfaces, 2017

2016
Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environments.
Proceedings of the 2016 IEEE Virtual Reality, 2016

A full-body motion calibration and retargeting for intuitive object manipulation in immersive virtual environments.
Proceedings of the 9th IEEE Workshop on Software Engineering and Architectures for Realtime Interactive Systems, 2016

A Portable and Unified CPU/GPU Parallel Implementation of Surface Normal Generation Algorithm from 3D Terrain Data.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

Automatic Environment Map Construction for Mixed Reality Robotic Applications.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

An Integrated Cyber-Physical Immersive Virtual Reality Framework with Applications to Telerobotics.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

2015
An Efficient Non-parametric Background Modeling Technique with CUDA Heterogeneous Parallel Architecture.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2012
Context-Based Bayesian Intent Recognition.
IEEE Trans. Auton. Ment. Dev., 2012

A Novel Gait Recognition System Based on Hidden Markov Models.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

2011
Robust Foreground Detection in Videos Using Adaptive Color Histogram Thresholding and Shadow Removal.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

2010
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

A Developmental Framework for Visual Learning in Robotics.
Proceedings of the 2010 International Conference on Image Processing, 2010

Integrating Context into Intent Recognition Systems.
Proceedings of the ICINCO 2010, 2010

2009
Non-parametric statistical background modeling for efficient foreground region detection.
Mach. Vis. Appl., 2009

Accurate and Efficient Computation of Gabor Features in Real-Time Applications.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

2008
An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation.
Int. J. Humanoid Robotics, 2008

A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds.
Int. J. Artif. Intell. Tools, 2008

A Visual Tracking Framework for Intent Recognition in Videos.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Efficient background modeling through incremental Support Vector Data Description.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Feature Fusion Hierarchies for gender classification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Understanding human intentions via hidden markov models in autonomous mobile robots.
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction, 2008

2007
A Vision-Based Architecture for Intent Recognition.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Improvement of Zernike moment descriptors on affine transformed shapes.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

2006
A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds.
Proceedings of the Advances in Visual Computing, Second International Symposium, 2006

Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance.
Proceedings of the Advances in Visual Computing, First International Symposium, 2005


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