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ORCIDAlireza Tavakkoli
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- affiliation: University of Nevada, Reno, USA
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2020 – today
- 2024
[j10]Chase D. Carthen
, Araam Zaremehrjardi, Vinh D. Le, Carlos Cardillo, Scotty Strachan, Alireza Tavakkoli, Frederick C. Harris Jr., Sergiu M. Dascalu:
A Novel Spatial Data Pipeline for Orchestrating Apache NiFi/MiNiFi. Int. J. Softw. Innov. 12(1): 1-14 (2024)- [j9]Marc Berghouse, George Bebis, Alireza Tavakkoli:
Exploring the influence of attention for whole-image mammogram classification. Image Vis. Comput. 147: 105062 (2024) - [j8]Sushmita Sarker, Prithul Sarker, Gunner Stone, Ryan Gorman, Alireza Tavakkoli, George Bebis, Javad Sattarvand:
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation. Mach. Vis. Appl. 35(4): 67 (2024) - [c60]Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli:
MV-Swin-T: Mammogram Classification with Multi-View Swin Transformer. ISBI 2024: 1-5 - [c59]Chase D. Carthen, Araam Zaremehrjardi, Vinh D. Le, Carlos Cardillo, Scotty Strachan, Alireza Tavakkoli, Sergiu M. Dascalu, Frederick C. Harris Jr.:
A Spatial Data Pipeline for Streaming Smart City Data. SERA 2024: 267-272 - [c58]Chase D. Carthen, Araam Zaremehrjardi, Zachary Estreito, Alireza Tavakkoli, Frederick C. Harris Jr., Sergiu M. Dascalu:
SpeciServe. a gRPC Infrastructure Concept. SERA 2024: 273-276 - [c57]Gunner Stone, Alireza Tavakkoli:
NeedLR: Streamlining Point Cloud Annotation for Enhanced Machine Learning Integration. PEARC 2024: 57:1-57:4 - [i24]Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli:
MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer. CoRR abs/2402.16298 (2024) - [i23]Sushmita Sarker, Prithul Sarker, Gunner Stone, Ryan Gorman, Alireza Tavakkoli, George Bebis, Javad Sattarvand:
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation. CoRR abs/2405.11903 (2024) - 2023
- [c56]Theodore Hartsook, Sarah Bisbing, Alireza Tavakkoli, Jonathan Greenberg:
Using Action Cameras to Collect Tree Measurements. IGARSS 2023: 3280-3283 - [c55]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, George Bebis, Salah A. Baker:
Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation. ISBI 2023: 1-5 - [c54]Marc Berghouse, George Bebis, Alireza Tavakkoli:
Investigating the Impact of Attention on Mammogram Classification. ISVC (1) 2023: 30-43 - [c53]Chenxing Wang, Alireza Tavakkoli:
Latent Diffusion Based Multi-class Anomaly Detection. ISVC (1) 2023: 487-498 - [c52]Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Andrew G. Lee, Alireza Tavakkoli:
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology. MICCAI (7) 2023: 693-703 - [c51]Chase D. Carthen, Araam Zaremehrjardi, Vinh D. Le, Carlos Cardillo, Scotty Strachan, Alireza Tavakkoli, Frederick C. Harris Jr., Sergiu M. Dascalu:
Orchestrating Apache NiFi/MiNiFi within a Spatial Data Pipeline. SERA 2023: 366-371 - [i22]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Salah A. Baker, Stewart Lee Zuckerbrod:
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation. CoRR abs/2303.09233 (2023) - [i21]Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Andrew G. Lee, Alireza Tavakkoli:
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology. CoRR abs/2308.06332 (2023) - 2022
- [j7]Zeynab Maghsoudi, Ha Nguyen, Alireza Tavakkoli, Tin Nguyen:
A comprehensive survey of the approaches for pathway analysis using multi-omics data integration. Briefings Bioinform. 23(6) (2022) - [c50]Chase D. Carthen, Christopher Lewis, Vinh D. Le, Alireza Tavakkoli, Frederick C. Harris Jr., Sergiu Dascalu:
THURSDAY: A Web Platform to Support AutoML. ACIT 2022: 41-46 - [c49]Prithul Sarker, Nasif Zaman, Alireza Tavakkoli:
VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect. ISVC (2) 2022: 193-204 - [c48]Khondker Fariha Hossain, Sharif Amit Kamran, Prithul Sarker, Philip K. Pavilionis, Isayas B. Adhanom, Nicholas G. Murray, Alireza Tavakkoli:
Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning. ISVC (2) 2022: 229-241 - [c47]Khondker Fariha Hossain, Alireza Tavakkoli, Shamik Sengupta:
A Game Theoretical Vulnerability Analysis of Adversarial Attack. ISVC (2) 2022: 369-380 - [c46]Prithul Sarker, Sushmita Sarker, George Bebis, Alireza Tavakkoli:
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images. ISVC (1) 2022: 419-430 - [c45]Prithul Sarker, Khondker Fariha Hossain, Isayas Berhe Adhanom, Philip K. Pavilionis, Nicholas G. Murray, Alireza Tavakkoli:
Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection Using BiLSTM. ISVC (2) 2022: 431-441 - [c44]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker:
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images. OMIA@MICCAI 2022: 22-32 - [c43]Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma:
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks. AMAI@MICCAI 2022: 68-78 - [i20]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker:
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images. CoRR abs/2206.12136 (2022) - [i19]Prithul Sarker, Nasif Zaman, Alireza Tavakkoli:
VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect. CoRR abs/2210.06474 (2022) - [i18]Khondker Fariha Hossain, Alireza Tavakkoli, Shamik Sengupta:
A Game Theoretical vulnerability analysis of Adversarial Attack. CoRR abs/2210.06670 (2022) - [i17]Khondker Fariha Hossain, Sharif Amit Kamran, Prithul Sarker, Philip K. Pavilionis, Isayas B. Adhanom, Nicholas G. Murray, Alireza Tavakkoli:
Virtual-Reality based Vestibular Ocular Motor Screening for Concussion Detection using Machine-Learning. CoRR abs/2210.09295 (2022) - [i16]Prithul Sarker, Khondker Fariha Hossain, Isayas Berhe Adhanom, Philip K. Pavilionis, Nicholas G. Murray, Alireza Tavakkoli:
Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection using BiLSTM. CoRR abs/2210.11238 (2022) - [i15]Prithul Sarker, Sushmita Sarker, George Bebis, Alireza Tavakkoli:
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images. CoRR abs/2210.13668 (2022) - [i14]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, George Bebis, Salah A. Baker:
SWIN-SFTNet : Spatial Feature Expansion and Aggregation using Swin Transformer For Whole Breast micro-mass segmentation. CoRR abs/2211.08717 (2022) - 2021
- [c42]Chenxing Wang, Lily Raymond, Yifei Jin, Alireza Tavakkoli, Haoting Shen:
3D Unclonable Optical Identity for Universal Product Verification. HOST 2021: 136-146 - [c41]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker:
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers. ICCVW 2021: 3228-3238 - [c40]Alexis R. Tudor, Gunner Stone, Alireza Tavakkoli, Emily M. Hand:
Classification of RIGID and Non-Rigid Transformations with Autoencoder Representations. ICIP 2021: 854-858 - [c39]Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker:
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. ICMLA 2021: 50-56 - [c38]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker:
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network. MICCAI (8) 2021: 34-44 - [i13]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker:
RV-GAN : Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks. CoRR abs/2101.00535 (2021) - [i12]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker:
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers. CoRR abs/2104.06757 (2021) - [i11]Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Daniel Ma, Sutharshan Rajasegarar, Chandan Karmaker:
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. CoRR abs/2107.07677 (2021) - [i10]Sharif Amit Kamran, Shamik Sengupta, Alireza Tavakkoli:
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective. CoRR abs/2108.01852 (2021) - [i9]Khondker Fariha Hossain, Sharif Amit Kamran, Xingjun Ma, Alireza Tavakkoli:
ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks. CoRR abs/2110.09983 (2021) - 2020
- [j6]Umme Hafsa Billah, Hung Manh La, Alireza Tavakkoli:
Deep Learning-Based Feature Silencing for Accurate Concrete Crack Detection. Sensors 20(16): 4403 (2020) - [c37]Sharif Amit Kamran, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Improving Robustness Using Joint Attention Network for Detecting Retinal Degeneration From Optical Coherence Tomography Images. ICIP 2020: 2476-2480 - [c36]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks. ICPR 2020: 9122-9129 - [c35]Hoang-Dung Bui, Son Nguyen, Umme Hafsa Billah, Chuong Le, Alireza Tavakkoli, Hung M. La:
Control Framework for a Hybrid-steel Bridge Inspection Robot. IROS 2020: 2585-2591 - [c34]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Zuckerbrod, Salah A. Baker, Kenton M. Sanders:
Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography. ISVC (2) 2020: 125-138 - [c33]Nasif Zaman, Alireza Tavakkoli, Stewart Zuckerbrod:
A Mixed Reality System for Modeling Perceptual Deficit to Correct Neural Errors and Recover Functional Vision. VR Workshops 2020: 269-274 - [c32]Alireza Tavakkoli, Brandon Wilson, Matthew Bounds:
An Immersive Virtual Environment for Teleoperation of Remote Robotic Agents for Everyday Applications in Prohibitive Environments. VR Workshops 2020: 371-375 - [i8]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography. CoRR abs/2005.05267 (2020) - [i7]Sharif Amit Kamran, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images. CoRR abs/2005.08094 (2020) - [i6]Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks. CoRR abs/2007.09191 (2020) - [i5]Hoang-Dung Bui, Son Nguyen, Umme Hafsa Billah, Chuong Le, Alireza Tavakkoli, Hung M. La:
Control Framework for a Hybrid-steel Bridge Inspection Robot. CoRR abs/2009.00740 (2020)
2010 – 2019
- 2019
- [c31]Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli:
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. ICMLA 2019: 964-971 - [c30]Aniruddha Prithul, Nasif Zaman, Alireza Tavakkoli, Stewart Zuckerbrod:
A Parametric Perceptual Deficit Modeling and Diagnostics Framework for Retina Damage Using Mixed Reality. ISVC (2) 2019: 258-269 - [c29]Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. ISVC (2) 2019: 358-370 - [c28]Umme Hafsa Billah, Alireza Tavakkoli, Hung Manh La:
Concrete Crack Pixel Classification Using an Encoder Decoder Based Deep Learning Architecture. ISVC (1) 2019: 593-604 - [c27]Lee Easson, Alireza Tavakkoli, Jonathan Greenberg:
An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications. ISVC (1) 2019: 619-630 - [i4]Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. CoRR abs/1903.02046 (2019) - [i3]Lee Easson, Alireza Tavakkoli, Jonathan Greenberg:
An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications. CoRR abs/1910.04944 (2019) - [i2]Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli:
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. CoRR abs/1910.05672 (2019) - [i1]Aniruddha Prithul, Nasif Zaman, Alireza Tavakkoli, Stewart Zuckerbrod:
A Parametric Perceptual Deficit Modeling and Diagnostics Framework for Retina Damage using Mixed Reality. CoRR abs/1910.07688 (2019) - 2018
- [b1]Alireza Tavakkoli:
A Non-Parametric Framework for Object Tracking in Videos with Quasi-Stationary Backgrounds. University of Nevada, Reno, USA, 2018 - [j5]Brandon Wilson, Matthew Bounds, David McFadden, Jace Regenbrecht, Loveth Ohenhen, Alireza Tavakkoli, Donald Loffredo:
VETO: An Immersive Virtual Environment for Tele-Operation. Robotics 7(2): 26 (2018) - [c26]William Porr, James Easton, Alireza Tavakkoli, Donald Loffredo, Sean Simmons:
Accurate and Efficient Non-Parametric Background Detection for Video Surveillance. ISVC 2018: 93-105 - [c25]Sean Simmons, Kevin Clark, Alireza Tavakkoli, Donald Loffredo:
Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments. ISVC 2018: 237-248 - [c24]William Porr, James Easton, Alireza Tavakkoli, Donald Loffredo, Sean Simmons:
GPU Accelerated Non-Parametric Background Subtraction. ISVC 2018: 629-639 - 2017
- [c23]Jace Regenbrecht, Alireza Tavakkoli, Donald Loffredo:
A Robust and intuitive 3D interface for teleoperation of autonomous robotic agents through immersive virtual reality environments. 3DUI 2017: 199-200 - 2016
- [c22]Brandon Wilson, Robert Deen, Alireza Tavakkoli:
A Portable and Unified CPU/GPU Parallel Implementation of Surface Normal Generation Algorithm from 3D Terrain Data. ISVC (2) 2016: 202-211 - [c21]Matthew Bounds, Brandon Wilson, Alireza Tavakkoli, Donald Loffredo:
An Integrated Cyber-Physical Immersive Virtual Reality Framework with Applications to Telerobotics. ISVC (2) 2016: 235-245 - [c20]David McFadden, Brandon Wilson, Alireza Tavakkoli, Donald Loffredo:
Automatic Environment Map Construction for Mixed Reality Robotic Applications. ISVC (1) 2016: 713-722 - [c19]Brandon Wilson, Matthew Bounds, Alireza Tavakkoli:
A full-body motion calibration and retargeting for intuitive object manipulation in immersive virtual environments. SEARIS 2016: 1-5 - [c18]Brandon Wilson, Matthew Bounds, Alireza Tavakkoli:
Hand motion calibration and retargeting for intuitive object manipulation in immersive virtual environments. VR 2016: 313-314 - 2015
- [c17]Brandon Wilson, Alireza Tavakkoli:
An Efficient Non-parametric Background Modeling Technique with CUDA Heterogeneous Parallel Architecture. ISVC (1) 2015: 210-220 - 2012
- [j4]Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu:
Context-Based Bayesian Intent Recognition. IEEE Trans. Auton. Ment. Dev. 4(3): 215-225 (2012) - [c16]Akintola Kolawole, Alireza Tavakkoli:
A Novel Gait Recognition System Based on Hidden Markov Models. ISVC (2) 2012: 125-134 - 2011
- [c15]Akintola Kolawole, Alireza Tavakkoli:
Robust Foreground Detection in Videos Using Adaptive Color Histogram Thresholding and Shadow Removal. ISVC (2) 2011: 496-505 - 2010
- [c14]Richard Kelley, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli:
Integrating Context into Intent Recognition Systems. ICINCO (2) 2010: 315-320 - [c13]Amol Ambardekar, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu:
A Developmental Framework for Visual Learning in Robotics. IPCV 2010: 382-387 - [c12]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos. ISVC (3) 2010: 161-170
2000 – 2009
- 2009
- [j3]Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Non-parametric statistical background modeling for efficient foreground region detection. Mach. Vis. Appl. 20(6): 395-409 (2009) - [c11]Gholamreza Amayeh, Alireza Tavakkoli, George Bebis:
Accurate and Efficient Computation of Gabor Features in Real-Time Applications. ISVC (1) 2009: 243-252 - 2008
- [j2]Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
A Support Vector Data Description Approach for Background Modeling in Videos with Quasi-Stationary Backgrounds. Int. J. Artif. Intell. Tools 17(4): 635-658 (2008) - [j1]Richard Kelley, Christopher King, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
An Architecture for Understanding Intent Using a Novel Hidden Markov Formulation. Int. J. Humanoid Robotics 5(2): 203-224 (2008) - [c10]Richard Kelley, Alireza Tavakkoli, Christopher King, Monica N. Nicolescu, Mircea Nicolescu, George Bebis:
Understanding human intentions via hidden markov models in autonomous mobile robots. HRI 2008: 367-374 - [c9]Fabien Scalzo, George Bebis, Mircea Nicolescu, Leandro A. Loss, Alireza Tavakkoli:
Feature Fusion Hierarchies for gender classification. ICPR 2008: 1-4 - [c8]Alireza Tavakkoli, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Efficient background modeling through incremental Support Vector Data Description. ICPR 2008: 1-4 - [c7]Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
A Visual Tracking Framework for Intent Recognition in Videos. ISVC (1) 2008: 450-459 - 2007
- [c6]Gholamreza Amayeh, Shohreh Kasaei, George Bebis, Alireza Tavakkoli, Konstantinos Veropoulos:
Improvement of Zernike moment descriptors on affine transformed shapes. ISSPA 2007: 1-4 - [c5]Alireza Tavakkoli, Richard Kelley, Christopher King, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
A Vision-Based Architecture for Intent Recognition. ISVC (2) 2007: 173-182 - [c4]Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil J. Louis:
A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data. ISVC (2) 2007: 318-327 - 2006
- [c3]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds. ICPR (1) 2006: 315-318 - [c2]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
A Novelty Detection Approach for Foreground Region Detection in Videos with Quasi-stationary Backgrounds. ISVC (1) 2006: 40-49 - 2005
- [c1]Alireza Tavakkoli, Mircea Nicolescu, George Bebis:
Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance. ISVC 2005: 363-370
Coauthor Index
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