Model-based tracking: Temporal conditional random fields. - M. J. Shafiee; Zohreh Azimifar; Paul W. Fieguth (ICIP, 2010)

A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields. - M. J. Shafiee; Zohreh Azimifar; Alexander Wong; Paul W. Fieguth (ISM, 2011)

Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model. - Andrew Cameron; Amen Modhafar; Farzad Khalvati; Dorothy Lui; Mohammad Javad Shafiee; Alexander Wong; Masoom A. Haider (EMBC, 2014)

Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques. - M. J. Shafiee; Alexander Wong; Parthipan Siva; Paul W. Fieguth (ICIP, 2014)

Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model. - Francis Li; Edward Li; Mohammad Javad Shafiee; Alexander Wong; John S. Zelek (CRV, 2015)

Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model. - Linlin Xu; Mohammad Javad Shafiee; Alexander Wong; Fan Li 005; Lei Wang 038; David A. Clausi (CVPR Workshops, 2015)

High dynamic range map estimation via fully connected random fields with stochastic cliques. - F. Y. Li; Mohammad Javad Shafiee; Audrey G. Chung; Brendan Chwyl; Farnoud Kazemzadeh; Alexander Wong; John S. Zelek (ICIP, 2015)

Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. - Mohammad Javad Shafiee; Audrey G. Chung; Alexander Wong; Paul W. Fieguth (ICIP, 2015)

PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling. - Parthipan Siva; Mohammad Javad Shafiee; Francis Li; Alexander Wong (ICIP, 2015)

Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. - Shahid A. Haider; Mohammad Javad Shafiee; Audrey G. Chung; Farzad Khalvati; Anastasia Oikonomou; Alexander Wong; Masoom A. Haider (ISBI, 2015)

Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. - Audrey G. Chung; Farzad Khalvati; Mohammad Javad Shafiee; Masoom A. Haider; Alexander Wong (IEEE Access, 2015)

A Deep-Structured Fully Connected Random Field Model for Structured Inference. - Alexander Wong; Mohammad Javad Shafiee; Parthipan Siva; Xiaoyu Wang 010 (IEEE Access, 2015)

Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. - Audrey G. Chung; Mohammad Javad Shafiee; Devinder Kumar; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Discovery Radiomics for Computed Tomography Cancer Detection. - Devinder Kumar; Mohammad Javad Shafiee; Audrey G. Chung; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

A Deep-structured Conditional Random Field Model for Object Silhouette Tracking. - Mohammad Javad Shafiee; Zohreh Azimifar; Alexander Wong (CoRR, 2015)

Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. - Mohammad Javad Shafiee; Audrey G. Chung; Devinder Kumar; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2015)

Domain Adaptation and Transfer Learning in StochasticNets. - Mohammad Javad Shafiee; Parthipan Siva; Paul W. Fieguth; Alexander Wong (CoRR, 2015)

Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. - Mohammad Javad Shafiee; Alexander Wong; Paul W. Fieguth (CoRR, 2015)

Document image binarization using a discriminative structural classifier. - Ehsan Ahmadi; Zohreh Azimifar; Maryam Shams; Mahmoud Famouri; Mohammad Javad Shafiee (Pattern Recognit. Lett., 2015)

Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields. - Mohammad Javad Shafiee; Shahid A. Haider; Alexander Wong; Dorothy Lui; Andrew Cameron; Ameen Modhafar; Paul W. Fieguth; Masoom A. Haider (IEEE Trans. Medical Imaging, 2015)

Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions. - Audrey G. Chung; Mohammad Javad Shafiee; Alexander Wong (CRV, 2016)

Embedded Motion Detection via Neural Response Mixture Background Modeling. - Mohammad Javad Shafiee; Parthipan Siva; Paul W. Fieguth; Alexander Wong (CVPR Workshops, 2016)

Efficient Deep Feature Learning and Extraction via StochasticNets. - Mohammad Javad Shafiee; Parthipan Siva; Paul W. Fieguth; Alexander Wong (CVPR Workshops, 2016)

Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). - Parthipan Siva; Mohammad Javad Shafiee; Michael Jamieson; Alexander Wong (CVPR Workshops, 2016)

A unified Bayesian-based compensated magnetic resonance imaging. - Ameneh Boroomand; Edward Li; Mohammad Javad Shafiee; Masoom A. Haider; Farzad Khalvati; Alexander Wong (EMBC, 2016)

Random feature maps via a Layered Random Projection (LARP) framework for object classification. - Audrey G. Chung; Mohammad Javad Shafiee; Alexander Wong (ICIP, 2016)

Spatio-temporal saliency detection using abstracted fully-connected graphical models. - Amir-Hossein Karimi; Mohammad Javad Shafiee; Christian Scharfenberger; I. BenDaya; Shahid A. Haider; N. Talukdar; David A. Clausi; Alexander Wong (ICIP, 2016)

Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model. - Edward Li; Mohammad Javad Shafiee; Farnoud Kazemzadeh; Alexander Wong (IEEE Access, 2016)

StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. - Mohammad Javad Shafiee; Parthipan Siva; Alexander Wong (IEEE Access, 2016)

Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields. - Edward Li; Farzad Khalvati; Mohammad Javad Shafiee; Masoom A. Haider; Alexander Wong (BMC Medical Imaging, 2016)

EvoNet: Evolutionary Synthesis of Deep Neural Networks. - Mohammad Javad Shafiee; Akshaya Kumar Mishra; Alexander Wong (CoRR, 2016)

NeRD: a Neural Response Divergence Approach to Visual Salience Detection. - M. J. Shafiee; Parthipan Siva; Christian Scharfenberger; Paul W. Fieguth; Alexander Wong (CoRR, 2016)

Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding. - Mohammad Javad Shafiee; Alexander Wong (CoRR, 2016)

Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). - Parthipan Siva; Mohammad Javad Shafiee; Mike Jamieson; Alexander Wong (CoRR, 2016)

NeRD: A Neural Response Divergence Approach to Visual Saliency Detection. - Mohammad Javad Shafiee; Parthipan Siva; Christian Scharfenberger; Paul W. Fieguth; Alexander Wong (IEEE Signal Process. Lett., 2016)

Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery. - Linlin Xu; Mohammad Javad Shafiee; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. - Ameneh Boroomand; Mohammad Javad Shafiee; Farzad Khalvati; Masoom A. Haider; Alexander Wong (IEEE Trans. Medical Imaging, 2016)

DeepPredict: A deep predictive intelligence platform for patient monitoring. - Brendan Chwyl; Audrey G. Chung; Mohammad Javad Shafiee; Yongji Fu; Alexander Wong (EMBC, 2017)

The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. - Audrey G. Chung; Mohammad Javad Shafiee; Paul W. Fieguth; Alexander Wong (ICCV Workshops, 2017)

Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks. - M. J. Shafiee; Elnaz Barshan; Francis Li; Brendan Chwyl; Michelle Karg; Christian Scharfenberger; Alexander Wong (ICCV Workshops, 2017)

Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields. - Ibrahim Ben Daya; Albert I. H. Chen; Mohammad Javad Shafiee; Alexander Wong; John T. W. Yeow (ICIAR, 2017)

Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. - Amir-Hossein Karimi; Audrey G. Chung; Mohammad Javad Shafiee; Farzad Khalvati; Masoom A. Haider; Ali Ghodsi 001; Alexander Wong (ICIAR, 2017)

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. - Devinder Kumar; Audrey G. Chung; Mohammad Javad Shafiee; Farzad Khalvati; Masoom A. Haider; Alexander Wong (ICIAR, 2017)

Deep Randomly-Connected Conditional Random Fields For Image Segmentation. - Mohammad Javad Shafiee; Alexander Wong; Paul W. Fieguth (IEEE Access, 2017)

Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. - Amir-Hossein Karimi; M. J. Shafiee; Ali Ghodsi 001; Alexander Wong (CoRR, 2017)

Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks. - Mohammad Javad Shafiee; Elnaz Barshan; Alexander Wong (CoRR, 2017)

Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. - Mohammad Javad Shafiee; Audrey G. Chung; Farzad Khalvati; Masoom A. Haider; Alexander Wong (CoRR, 2017)

Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks. - Mohammad Javad Shafiee; Francis Li; Alexander Wong (CoRR, 2017)

Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video. - Mohammad Javad Shafiee; Brendan Chywl; Francis Li; Alexander Wong (CoRR, 2017)

Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection. - Mohammad Javad Shafiee; Alexander Wong (CoRR, 2017)

SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis. - Mohammad Javad Shafiee; Francis Li; Brendan Chwyl; Alexander Wong (CoRR, 2017)

Randomly-connected Non-Local Conditional Random Fields. - Mohammad Javad Shafiee (2017)

Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection. - Alexander Wong; Mohammad Javad Shafiee; Francis Li; Brendan Chwyl (CRV, 2018)

MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification. - Alexander Wong; Mohammad Javad Shafiee; Michael St. Jules (IEEE Access, 2018)

MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. - Farzad Khalvati; Junjie Zhang 005; Audrey G. Chung; Mohammad Javad Shafiee; Alexander Wong; Masoom A. Haider (BMC Medical Imaging, 2018)

muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification. - Alexander Wong; Mohammad Javad Shafiee; Michael St. Jules (CoRR, 2018)

Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. - Amir Nazemi; Mohammad Javad Shafiee; Zohreh Azimifar; Alexander Wong (CoRR, 2018)

FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis. - Alexander Wong; Mohammad Javad Shafiee; Brendan Chwyl; Francis Li (CoRR, 2018)

Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates. - Mohammad Saeed Shafiee; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2018)

Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks. - Mohammad Javad Shafiee; Akshaya Kumar Mishra; Alexander Wong (Neural Process. Lett., 2018)

Real-Time Embedded Motion Detection via Neural Response Mixture Modeling. - Mohammad Javad Shafiee; Parthipan Siva; Paul W. Fieguth; Alexander Wong (J. Signal Process. Syst., 2018)

SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. - Ibrahim Ben Daya; Mohammad Javad Shafiee; Michelle Karg (CVPR Workshops, 2019)

SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. - Ibrahim Ben Daya; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CVPR Workshops, 2019)

Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates. - Mohammad Saeed Shafiee; Mohammad Javad Shafiee; Alexander Wong (CVPR Workshops, 2019)

A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy. - Ameneh Boroomand; Bingyao Tan; Mohammad Javad Shafiee; Kostadinka K. Bizheva; Alexander Wong (ICIAR (2), 2019)

YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. - Alexander Wong; Mahmoud Famouri; Mohammad Javad Shafiee; Francis Li; Brendan Chwyl; Jonathan Chung 004 (EMC2@NeurIPS, 2019)

Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving. - Mohammad Javad Shafiee; Mirko Nentwig; Yohannes Kassahun; Francis Li; Stanislav Bochkarev; Akif Kamal; David Dolson; Secil Altintas; Arif Virani; Alexander Wong (CoRR, 2019)

State of Compact Architecture Search For Deep Neural Networks. - Mohammad Javad Shafiee; Andrew Hryniowski; Francis Li; Zhong Qiu Lin; Alexander Wong (CoRR, 2019)

Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms. - Zhong Qiu Lin; Mohammad Javad Shafiee; Stanislav Bochkarev; Michael St. Jules; Xiaoyu Wang 010; Alexander Wong (CoRR, 2019)

StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. - Mohammad Javad Shafiee; Brendan Chwyl; Francis Li; Rongyan Chen; Michelle Karg; Christian Scharfenberger; Alexander Wong (Neurocomputing, 2019)

Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. - Ahmadreza Jeddi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CVPR, 2020)

Deep Neural Network Perception Models and Robust Autonomous Driving Systems. - Mohammad Javad Shafiee; Ahmadreza Jeddi; Amir Nazemi; Paul W. Fieguth; Alexander Wong (CoRR, 2020)

Vulnerability Under Adversarial Machine Learning: Bias or Variance? - Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CoRR, 2020)

AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers. - Alexander Wong; Mahmoud Famouri; Mohammad Javad Shafiee (CoRR, 2020)

Self-Gradient Networks. - Hossein Aboutalebi; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2020)

A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning. - Ahmadreza Jeddi; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2020)

Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning. - Amir Nazemi; Zohreh Azimifar; Mohammad Javad Shafiee; Alexander Wong (IEEE Trans. Intell. Transp. Syst., 2020)

COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. - Hossein Aboutalebi; Maya Pavlova; Mohammad Javad Shafiee; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. - Hossein Aboutalebi; Saad Abbasi; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2021)

Residual Error: a New Performance Measure for Adversarial Robustness. - Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CoRR, 2021)

Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration. - Saad Abbasi; Mohammad Javad Shafiee; Ellick Chan; Alexander Wong (CoRR, 2021)

MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. - Hossein Aboutalebi; Maya Pavlova; Hayden Gunraj; Mohammad Javad Shafiee; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection. - Mohammad Javad Shafiee; Mahmoud Famouri; Gautam Bathla; Francis Li; Alexander Wong (CoRR, 2021)

OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. - Saad Abbasi; Mahmoud Famouri; Mohammad Javad Shafiee; Alexander Wong (Sensors, 2021)

Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. - Mohammad Javad Shafiee; Ahmadreza Jeddi; Amir Nazemi; Paul W. Fieguth; Alexander Wong (IEEE Signal Process. Mag., 2021)

CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. - Carol Xu; Mahmoud Famouri; Gautam Bathla; Saeejith Nair; Mohammad Javad Shafiee; Alexander Wong (CRV, 2022)

MAPLE: Microprocessor A Priori for Latency Estimation. - Saad Abbasi; Alexander Wong; Mohammad Javad Shafiee (CVPR Workshops, 2022)

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. - Saeejith Nair; Saad Abbasi; Alexander Wong; Mohammad Javad Shafiee (CVPR Workshops, 2022)

COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data. - Hossein Aboutalebi; Maya Pavlova; Mohammad Javad Shafiee; Adrian Florea; Andrew Hryniowski; Alexander Wong (CoRR, 2022)

LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection. - Carol Xu; Mahmoud Famouri; Gautam Bathla; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2022)

MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge. - Saad Abbasi; Alexander Wong; Mohammad Javad Shafiee (CoRR, 2022)

Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. - Alexander Wong; Mohammad Javad Shafiee; Saad Abbasi; Saeejith Nair; Mahmoud Famouri (CoRR, 2022)

High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. - Carol Xu; Mahmoud Famouri; Gautam Bathla; Mohammad Javad Shafiee; Alexander Wong (AAAI, 2023)

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. - Alexander Wong; Yifan Wu 004; Saad Abbasi; Saeejith Nair; Yuhao Chen 001; Mohammad Javad Shafiee (CVPR Workshops, 2023)

Rink-Agnostic Hockey Rink Registration. - Jia Cheng Shang; Yuhao Chen 001; Mohammad Javad Shafiee; David A. Clausi (MMSports@MM, 2023)

NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. - Saeejith Nair; Yuhao Chen 001; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2023)

Memory-Efficient Continual Learning Object Segmentation for Long Video. - Amir Nazemi; Mohammad Javad Shafiee; Zahra Gharaee; Paul W. Fieguth (CoRR, 2023)

DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. - Saeejith Nair; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2023)

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. - Hossein Aboutalebi; Mohammad Javad Shafiee; Chi-En Amy Tai; Alexander Wong (IEEE Access, 2024)

Memory-Efficient Continual Learning Object Segmentation for Long Videos. - Amir Nazemi; Mohammad Javad Shafiee; Zahra Gharaee; Paul W. Fieguth (IEEE Access, 2024)

Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. - Dening Lu; Shimon Schwartz; Linlin Xu; Mohammad Javad Shafiee; Norman G. Vinson; Krzysztof J. Czarnecki; Alexander Wong (Expert Syst. Appl., 2024)