Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance. - Alireza Tavakkoli; Mircea Nicolescu; George Bebis (ISVC, 2005)

Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds. - Alireza Tavakkoli; Mircea Nicolescu; George Bebis (ICPR (1), 2006)

A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds. - Alireza Tavakkoli; Mircea Nicolescu; George Bebis (ISVC (1), 2006)

Improvement of Zernike moment descriptors on affine transformed shapes. - Gholamreza Amayeh; Shohreh Kasaei; George Bebis; Alireza Tavakkoli; Konstantinos Veropoulos (ISSPA, 2007)

A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data. - Alireza Tavakkoli; Amol Ambardekar; Mircea Nicolescu; Sushil J. Louis (ISVC (2), 2007)

A Vision-Based Architecture for Intent Recognition. - Alireza Tavakkoli; Richard Kelley; Christopher King; Mircea Nicolescu; Monica N. Nicolescu; George Bebis (ISVC (2), 2007)

Understanding human intentions via hidden markov models in autonomous mobile robots. - Richard Kelley; Alireza Tavakkoli; Christopher King; Monica N. Nicolescu; Mircea Nicolescu; George Bebis (HRI, 2008)

Feature Fusion Hierarchies for gender classification. - Fabien Scalzo; George Bebis; Mircea Nicolescu; Leandro A. Loss; Alireza Tavakkoli (ICPR, 2008)

Efficient background modeling through incremental Support Vector Data Description. - Alireza Tavakkoli; Mircea Nicolescu; George Bebis; Monica N. Nicolescu (ICPR, 2008)

A Visual Tracking Framework for Intent Recognition in Videos. - Alireza Tavakkoli; Richard Kelley; Christopher King; Mircea Nicolescu; Monica N. Nicolescu; George Bebis (ISVC (1), 2008)

A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds. - Alireza Tavakkoli; Mircea Nicolescu; George Bebis; Monica N. Nicolescu (Int. J. Artif. Intell. Tools, 2008)

An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation. - Richard Kelley; Christopher King; Alireza Tavakkoli; Mircea Nicolescu; Monica N. Nicolescu; George Bebis (Int. J. Humanoid Robotics, 2008)

Accurate and Efficient Computation of Gabor Features in Real-Time Applications. - Gholamreza Amayeh; Alireza Tavakkoli; George Bebis (ISVC (1), 2009)

Non-parametric statistical background modeling for efficient foreground region detection. - Alireza Tavakkoli; Mircea Nicolescu; George Bebis; Monica N. Nicolescu (Mach. Vis. Appl., 2009)

Integrating Context into Intent Recognition Systems. - Richard Kelley; Christopher King; Amol Ambardekar; Monica N. Nicolescu; Mircea Nicolescu; Alireza Tavakkoli (ICINCO (2), 2010)

A Developmental Framework for Visual Learning in Robotics. - Amol Ambardekar; Alireza Tavakkoli; Mircea Nicolescu; Monica N. Nicolescu (IPCV, 2010)

A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos. - Alireza Tavakkoli; Mircea Nicolescu; George Bebis (ISVC (3), 2010)

Robust Foreground Detection in Videos Using Adaptive Color Histogram Thresholding and Shadow Removal. - Akintola Kolawole; Alireza Tavakkoli (ISVC (2), 2011)

A Novel Gait Recognition System Based on Hidden Markov Models. - Akintola Kolawole; Alireza Tavakkoli (ISVC (2), 2012)

Context-Based Bayesian Intent Recognition. - Richard Kelley; Alireza Tavakkoli; Christopher King; Amol Ambardekar; Monica N. Nicolescu; Mircea Nicolescu (IEEE Trans. Auton. Ment. Dev., 2012)

An Efficient Non-parametric Background Modeling Technique with CUDA Heterogeneous Parallel Architecture. - Brandon Wilson; Alireza Tavakkoli (ISVC (1), 2015)

An Integrated Cyber-Physical Immersive Virtual Reality Framework with Applications to Telerobotics. - Matthew Bounds; Brandon Wilson; Alireza Tavakkoli; Donald Loffredo (ISVC (2), 2016)

Automatic Environment Map Construction for Mixed Reality Robotic Applications. - David McFadden; Brandon Wilson; Alireza Tavakkoli; Donald Loffredo (ISVC (1), 2016)

A Portable and Unified CPU/GPU Parallel Implementation of Surface Normal Generation Algorithm from 3D Terrain Data. - Brandon Wilson; Robert Deen; Alireza Tavakkoli (ISVC (2), 2016)

A full-body motion calibration and retargeting for intuitive object manipulation in immersive virtual environments. - Brandon Wilson; Matthew Bounds; Alireza Tavakkoli (SEARIS, 2016)

Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environments. - Brandon Wilson; Matthew Bounds; Alireza Tavakkoli (VR, 2016)

A Robust and intuitive 3D interface for teleoperation of autonomous robotic agents through immersive virtual reality environments. - Jace Regenbrecht; Alireza Tavakkoli; Donald Loffredo (3DUI, 2017)

Accurate and Efficient Non-Parametric Background Detection for Video Surveillance. - William Porr; James Easton; Alireza Tavakkoli; Donald Loffredo; Sean Simmons 004 (ISVC, 2018)

GPU Accelerated Non-Parametric Background Subtraction. - William Porr; James Easton; Alireza Tavakkoli; Donald Loffredo; Sean Simmons 004 (ISVC, 2018)

Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments. - Sean Simmons 004; Kevin Clark; Alireza Tavakkoli; Donald Loffredo (ISVC, 2018)

VETO: An Immersive Virtual Environment for Tele-Operation. - Brandon Wilson; Matthew Bounds; David McFadden; Jace Regenbrecht; Loveth Ohenhen; Alireza Tavakkoli; Donald Loffredo (Robotics, 2018)

A Non-Parametric Framework for Object Tracking in Videos with Quasi-Stationary Backgrounds. - Alireza Tavakkoli (2018)

Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. - Sharif Amit Kamran; Sourajit Saha; Ali Shihab Sabbir; Alireza Tavakkoli (ICMLA, 2019)

A Parametric Perceptual Deficit Modeling and Diagnostics Framework for Retina Damage Using Mixed Reality. - Aniruddha Prithul; Nasif Zaman; Alireza Tavakkoli; Stewart Zuckerbrod (ISVC (2), 2019)

Concrete Crack Pixel Classification Using an Encoder Decoder Based Deep Learning Architecture. - Umme Hafsa Billah; Alireza Tavakkoli; Hung Manh La (ISVC (1), 2019)

An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications. - Lee Easson; Alireza Tavakkoli; Jonathan Greenberg (ISVC (1), 2019)

Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. - Adarsh Sehgal; Ashutosh Singandhupe; Hung Manh La; Alireza Tavakkoli; Sushil J. Louis (ISVC (2), 2019)

Improving Robustness Using Joint Attention Network for Detecting Retinal Degeneration From Optical Coherence Tomography Images. - Sharif Amit Kamran; Alireza Tavakkoli; Stewart Lee Zuckerbrod (ICIP, 2020)

Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Lee Zuckerbrod (ICPR, 2020)

Control Framework for a Hybrid-steel Bridge Inspection Robot. - Hoang-Dung Bui; Son Nguyen; Umme Hafsa Billah; Chuong Le; Alireza Tavakkoli; Hung M. La (IROS, 2020)

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Zuckerbrod; Salah A. Baker; Kenton M. Sanders (ISVC (2), 2020)

An Immersive Virtual Environment for Teleoperation of Remote Robotic Agents for Everyday Applications in Prohibitive Environments. - Alireza Tavakkoli; Brandon Wilson; Matthew Bounds (VR Workshops, 2020)

A Mixed Reality System for Modeling Perceptual Deficit to Correct Neural Errors and Recover Functional Vision. - Nasif Zaman; Alireza Tavakkoli; Stewart Zuckerbrod (VR Workshops, 2020)

Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Lee Zuckerbrod (CoRR, 2020)

Deep Learning-Based Feature Silencing for Accurate Concrete Crack Detection. - Umme Hafsa Billah; Hung Manh La; Alireza Tavakkoli (Sensors, 2020)

3D Unclonable Optical Identity for Universal Product Verification. - Chenxing Wang; Lily Raymond; Yifei Jin; Alireza Tavakkoli; Haoting Shen (HOST, 2021)

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Lee Zuckerbrod; Salah A. Baker (ICCVW, 2021)

Classification of RIGID and Non-Rigid Transformations with Autoencoder Representations. - Alexis R. Tudor; Gunner Stone; Alireza Tavakkoli; Emily M. Hand (ICIP, 2021)

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. - Khondker Fariha Hossain; Sharif Amit Kamran; Alireza Tavakkoli; Lei Pan 002; Xingjun Ma; Sutharshan Rajasegarar; Chandan Karmaker (ICMLA, 2021)

RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Lee Zuckerbrod; Kenton M. Sanders; Salah A. Baker (MICCAI (8), 2021)

RV-GAN : Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Lee Zuckerbrod; Kenton M. Sanders; Salah A. Baker (CoRR, 2021)

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Lee Zuckerbrod; Kenton M. Sanders; Salah A. Baker (CoRR, 2021)

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. - Khondker Fariha Hossain; Sharif Amit Kamran; Alireza Tavakkoli; Lei Pan 002; Daniel Ma; Sutharshan Rajasegarar; Chandan Karmaker (CoRR, 2021)

Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective. - Sharif Amit Kamran; Shamik Sengupta; Alireza Tavakkoli (CoRR, 2021)

ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks. - Khondker Fariha Hossain; Sharif Amit Kamran; Xingjun Ma; Alireza Tavakkoli (CoRR, 2021)

THURSDAY: A Web Platform to Support AutoML. - Chase D. Carthen; Christopher Lewis; Vinh D. Le; Alireza Tavakkoli; Frederick C. Harris Jr.; Sergiu Dascalu (ACIT, 2022)

Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning. - Khondker Fariha Hossain; Sharif Amit Kamran; Prithul Sarker; Philip K. Pavilionis; Isayas B. Adhanom; Nicholas G. Murray; Alireza Tavakkoli (ISVC (2), 2022)

A Game Theoretical Vulnerability Analysis of Adversarial Attack. - Khondker Fariha Hossain; Alireza Tavakkoli; Shamik Sengupta (ISVC (2), 2022)

Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection Using BiLSTM. - Prithul Sarker; Khondker Fariha Hossain; Isayas Berhe Adhanom; Philip K. Pavilionis; Nicholas G. Murray; Alireza Tavakkoli (ISVC (2), 2022)

ConnectedUNets++: Mass Segmentation from Whole Mammographic Images. - Prithul Sarker; Sushmita Sarker; George Bebis; Alireza Tavakkoli (ISVC (1), 2022)

VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect. - Prithul Sarker; Nasif Zaman; Alireza Tavakkoli (ISVC (2), 2022)

ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks. - Khondker Fariha Hossain; Sharif Amit Kamran; Alireza Tavakkoli; Xingjun Ma (AMAI@MICCAI, 2022)

Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Stewart Lee Zuckerbrod; Salah A. Baker (OMIA@MICCAI, 2022)

A comprehensive survey of the approaches for pathway analysis using multi-omics data integration. - Zeynab Maghsoudi; Ha Nguyen; Alireza Tavakkoli; Tin Nguyen 001 (Briefings Bioinform., 2022)

Using Action Cameras to Collect Tree Measurements. - Theodore Hartsook; Sarah Bisbing; Alireza Tavakkoli; Jonathan Greenberg (IGARSS, 2023)

Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; George Bebis; Salah A. Baker (ISBI, 2023)

Investigating the Impact of Attention on Mammogram Classification. - Marc Berghouse; George Bebis; Alireza Tavakkoli (ISVC (1), 2023)

Latent Diffusion Based Multi-class Anomaly Detection. - Chenxing Wang; Alireza Tavakkoli (ISVC (1), 2023)

Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology. - Khondker Fariha Hossain; Sharif Amit Kamran; Joshua Ong; Andrew G. Lee; Alireza Tavakkoli (MICCAI (7), 2023)

Orchestrating Apache NiFi/MiNiFi within a Spatial Data Pipeline. - Chase D. Carthen; Araam Zaremehrjardi; Vinh D. Le; Carlos Cardillo; Scotty Strachan; Alireza Tavakkoli; Frederick C. Harris Jr.; Sergiu M. Dascalu (SERA, 2023)

SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation. - Sharif Amit Kamran; Khondker Fariha Hossain; Alireza Tavakkoli; Salah A. Baker; Stewart Lee Zuckerbrod (CoRR, 2023)

RaceGAN: A Framework for Preserving Individuality While Converting Racial Information for Image-to-Image Translation. - Tasnim Pervin; George Bebis; Fang Jiang; Alireza Tavakkoli (ICMLA, 2024)

MV-Swin-T: Mammogram Classification with Multi-View Swin Transformer. - Sushmita Sarker; Prithul Sarker; George Bebis; Alireza Tavakkoli (ISBI, 2024)

Generating Synthetic Tree Point Clouds for Deep Learning Applications in Remote Sensing. - Gunner Stone; Sushmita Sarker; Jonathan A. Greenberg; Alireza Tavakkoli (ISVC (2), 2024)

SpeciServe. a gRPC Infrastructure Concept. - Chase D. Carthen; Araam Zaremehrjardi; Zachary Estreito; Alireza Tavakkoli; Frederick C. Harris Jr.; Sergiu M. Dascalu (SERA, 2024)

A Spatial Data Pipeline for Streaming Smart City Data. - Chase D. Carthen; Araam Zaremehrjardi; Vinh D. Le; Carlos Cardillo; Scotty Strachan; Alireza Tavakkoli; Sergiu M. Dascalu; Frederick C. Harris Jr. (SERA, 2024)

NeedLR: Streamlining Point Cloud Annotation for Enhanced Machine Learning Integration. - Gunner Stone; Alireza Tavakkoli (PEARC, 2024)

A Novel Spatial Data Pipeline for Orchestrating Apache NiFi/MiNiFi. - Chase D. Carthen; Araam Zaremehrjardi; Vinh D. Le; Carlos Cardillo; Scotty Strachan; Alireza Tavakkoli; Frederick C. Harris Jr.; Sergiu M. Dascalu (Int. J. Softw. Innov., 2024)

A Novel Spatial Data Pipeline for Streaming Smart City Data. - Chase D. Carthen; Araam Zaremehrjardi; Vinh D. Le; Carlos Cardillo; Scotty Strachan; Alireza Tavakkoli; Frederick C. Harris Jr.; Sergiu M. Dascalu (Int. J. Softw. Innov., 2024)

Exploring the influence of attention for whole-image mammogram classification. - Marc Berghouse; George Bebis; Alireza Tavakkoli (Image Vis. Comput., 2024)

A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation. - Sushmita Sarker; Prithul Sarker; Gunner Stone; Ryan Gorman; Alireza Tavakkoli; George Bebis; Javad Sattarvand (Mach. Vis. Appl., 2024)

SwinVFTR: A Novel Volumetric Feature-Learning Transformer for 3D OCT Fluid Segmentation. - Khondker Fariha Hossain; Sharif Amit Kamran; Alireza Tavakkoli; George Bebis; Salah A. Baker (ISBI, 2025)

Can Score-Based Generative Modeling Effectively Handle Medical Image Classification? - Sushmita Sarker; Prithul Sarker; George Bebis; Alireza Tavakkoli (ISBI, 2025)

Prediction of Cerebrospinal Fluid (CSF) Pressure with Generative Adversarial Network Synthetic Plasma-CSF Biomarker Pairing. - Phani Paladugu; Rahul Kumar; Jahnavi Yelamanchi; Ethan Waisberg; Joshua Ong; Mouayad Masalkhi; Chirag Gowda; Ryung Lee; Dylan Amiri; Ram Jagadeesan; Nasif Zaman; Alireza Tavakkoli; et al. (Neuroinformatics, 2025)