Mohammad Javad Shafiee

113 papers A* 2B 5Journal 80Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. Expert Syst. Appl. Dening Lu, Shimon Schwartz, Linlin Xu, Mohammad Javad Shafiee, Norman G. Vinson, Krzysztof J. Czarnecki, Alexander Wong
2024	J	`jnl`	Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access Hossein Aboutalebi, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong
2024	J	`jnl`	Memory-Efficient Continual Learning Object Segmentation for Long Videos. IEEE Access Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth
2024	J	`jnl`	Rink-Agnostic Hockey Rink Registration. CoRR Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David A. Clausi
2023	J	`jnl`	DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. CoRR Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
2023	—	`conf`	Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CVPR Workshops Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
2023	J	`jnl`	Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CoRR Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
2023	A*	`conf`	High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. AAAI Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
2023	J	`jnl`	Memory-Efficient Continual Learning Object Segmentation for Long Video. CoRR Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth
2023	J	`jnl`	NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. CoRR Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong
2023	—	`conf`	Rink-Agnostic Hockey Rink Registration. MMSports@MM Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David A. Clausi
2022	J	`jnl`	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. CoRR Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong
2022	—	`conf`	CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CRV Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
2022	J	`jnl`	CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CoRR Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
2022	J	`jnl`	Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. CoRR Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri
2022	J	`jnl`	High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. CoRR Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
2022	J	`jnl`	LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection. CoRR Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
2022	—	`conf`	MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CVPR Workshops Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
2022	J	`jnl`	MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CoRR Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
2022	J	`jnl`	MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge. CoRR Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
2022	—	`conf`	MAPLE: Microprocessor A Priori for Latency Estimation. CVPR Workshops Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
2021	J	`jnl`	COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. CoRR Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong
2021	J	`jnl`	COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. CoRR Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
2021	J	`jnl`	Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. IEEE Signal Process. Mag. Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
2021	J	`jnl`	Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration. CoRR Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong
2021	J	`jnl`	MAPLE: Microprocessor A Priori for Latency Estimation. CoRR Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
2021	J	`jnl`	MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
2021	J	`jnl`	OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. CoRR Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong
2021	J	`jnl`	OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. Sensors Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong
2021	J	`jnl`	Residual Error: a New Performance Measure for Adversarial Robustness. CoRR Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2021	J	`jnl`	TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection. CoRR Mohammad Javad Shafiee, Mahmoud Famouri, Gautam Bathla, Francis Li, Alexander Wong
2020	J	`jnl`	A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning. CoRR Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong
2020	J	`jnl`	AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers. CoRR Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee
2020	J	`jnl`	Deep Neural Network Perception Models and Robust Autonomous Driving Systems. CoRR Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
2020	A*	`conf`	Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. CVPR Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2020	J	`jnl`	Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. CoRR Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2020	J	`jnl`	Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning. IEEE Trans. Intell. Transp. Syst. Amir Nazemi, Zohreh Azimifar, Mohammad Javad Shafiee, Alexander Wong
2020	J	`jnl`	Self-Gradient Networks. CoRR Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong
2020	J	`jnl`	Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2019	—	`conf`	A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy. ICIAR (2) Ameneh Boroomand, Bingyao Tan, Mohammad Javad Shafiee, Kostadinka K. Bizheva, Alexander Wong
2019	J	`jnl`	Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms. CoRR Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiaoyu Wang, Alexander Wong
2019	—	`conf`	Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates. CVPR Workshops Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong
2019	J	`jnl`	Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving. CoRR Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong
2019	—	`conf`	SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. CVPR Workshops Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2019	—	`conf`	SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. CVPR Workshops Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg
2019	J	`jnl`	State of Compact Architecture Search For Deep Neural Networks. CoRR Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong
2019	J	`jnl`	StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. Neurocomputing Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
2019	—	`conf`	YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. EMC2@NeurIPS Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung
2019	J	`jnl`	YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. CoRR Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung
2018	J	`jnl`	Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks. Neural Process. Lett. Mohammad Javad Shafiee, Akshaya Kumar Mishra, Alexander Wong
2018	J	`jnl`	Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates. CoRR Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong
2018	J	`jnl`	FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis. CoRR Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li
2018	J	`jnl`	MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Medical Imaging Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
2018	J	`jnl`	MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification. IEEE Access Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules
2018	J	`jnl`	Real-Time Embedded Motion Detection via Neural Response Mixture Modeling. J. Signal Process. Syst. Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
2018	J	`jnl`	StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks. CoRR Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
2018	—	`conf`	Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection. CRV Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl
2018	J	`jnl`	Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection. CoRR Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl
2018	J	`jnl`	Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. CoRR Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong
2018	J	`jnl`	muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification. CoRR Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules
2017	—	`conf`	Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields. ICIAR Ibrahim Ben Daya, Albert I. H. Chen, Mohammad Javad Shafiee, Alexander Wong, John T. W. Yeow
2017	J	`jnl`	Deep Randomly-Connected Conditional Random Fields For Image Segmentation. IEEE Access Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth
2017	—	`conf`	DeepPredict: A deep predictive intelligence platform for patient monitoring. EMBC Brendan Chwyl, Audrey G. Chung, Mohammad Javad Shafiee, Yongji Fu, Alexander Wong
2017	—	`conf`	Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2017	J	`jnl`	Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection. CoRR Mohammad Javad Shafiee, Alexander Wong
2017	J	`jnl`	Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. CoRR Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2017	—	`conf`	Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
2017	J	`jnl`	Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks. CoRR Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong
2017	J	`jnl`	Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks. CoRR Mohammad Javad Shafiee, Francis Li, Alexander Wong
2017	J	`jnl`	Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video. CoRR Mohammad Javad Shafiee, Brendan Chywl, Francis Li, Alexander Wong
2017	—	`—`	Randomly-connected Non-Local Conditional Random Fields. Mohammad Javad Shafiee
2017	J	`jnl`	SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis. CoRR Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong
2017	—	`conf`	The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. ICCV Workshops Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong
2017	J	`jnl`	The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis. CoRR Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong
2016	—	`conf`	A unified Bayesian-based compensated magnetic resonance imaging. EMBC Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong
2016	—	`conf`	Efficient Deep Feature Learning and Extraction via StochasticNets. CVPR Workshops Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
2016	—	`conf`	Embedded Motion Detection via Neural Response Mixture Background Modeling. CVPR Workshops Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
2016	J	`jnl`	EvoNet: Evolutionary Synthesis of Deep Neural Networks. CoRR Mohammad Javad Shafiee, Akshaya Kumar Mishra, Alexander Wong
2016	J	`jnl`	Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding. CoRR Mohammad Javad Shafiee, Alexander Wong
2016	J	`jnl`	Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Linlin Xu, Mohammad Javad Shafiee, Alexander Wong, David A. Clausi
2016	—	`conf`	Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions. CRV Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
2016	J	`jnl`	NeRD: A Neural Response Divergence Approach to Visual Saliency Detection. IEEE Signal Process. Lett. Mohammad Javad Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong
2016	J	`jnl`	Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. IEEE Trans. Medical Imaging Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2016	J	`jnl`	Random Feature Maps via a Layered Random Projection (LaRP) Framework for Object Classification. CoRR Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
2016	B	`conf`	Random feature maps via a Layered Random Projection (LARP) framework for object classification. ICIP Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
2016	—	`conf`	Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). CVPR Workshops Parthipan Siva, Mohammad Javad Shafiee, Michael Jamieson, Alexander Wong
2016	J	`jnl`	Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). CoRR Parthipan Siva, Mohammad Javad Shafiee, Mike Jamieson, Alexander Wong
2016	J	`jnl`	Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model. IEEE Access Edward Li, Mohammad Javad Shafiee, Farnoud Kazemzadeh, Alexander Wong
2016	J	`jnl`	Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields. BMC Medical Imaging Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
2016	B	`conf`	Spatio-temporal saliency detection using abstracted fully-connected graphical models. ICIP Amir-Hossein Karimi, Mohammad Javad Shafiee, Christian Scharfenberger, I. BenDaya, Shahid A. Haider, N. Talukdar, David A. Clausi, Alexander Wong
2016	J	`jnl`	StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. IEEE Access Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong
2015	J	`jnl`	A Deep-Structured Fully Connected Random Field Model for Structured Inference. IEEE Access Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiaoyu Wang
2015	J	`jnl`	A Deep-structured Conditional Random Field Model for Object Silhouette Tracking. CoRR Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong
2015	J	`jnl`	Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields. IEEE Trans. Medical Imaging Mohammad Javad Shafiee, Shahid A. Haider, Alexander Wong, Dorothy Lui, Andrew Cameron, Ameen Modhafar, Paul W. Fieguth, Masoom A. Haider
2015	—	`conf`	Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model. CRV Francis Li, Edward Li, Mohammad Javad Shafiee, Alexander Wong, John S. Zelek
2015	J	`jnl`	Discovery Radiomics for Computed Tomography Cancer Detection. CoRR Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	Document image binarization using a discriminative structural classifier. Pattern Recognit. Lett. Ehsan Ahmadi, Zohreh Azimifar, Maryam Shams, Mahmoud Famouri, Mohammad Javad Shafiee
2015	J	`jnl`	Domain Adaptation and Transfer Learning in StochasticNets. CoRR Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
2015	J	`jnl`	Efficient Deep Feature Learning and Extraction via StochasticNets. CoRR Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
2015	J	`jnl`	Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. CoRR Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth
2015	B	`conf`	High dynamic range map estimation via fully connected random fields with stochastic cliques. ICIP F. Y. Li, Mohammad Javad Shafiee, Audrey G. Chung, Brendan Chwyl, Farnoud Kazemzadeh, Alexander Wong, John S. Zelek
2015	B	`conf`	Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. ICIP Mohammad Javad Shafiee, Audrey G. Chung, Alexander Wong, Paul W. Fieguth
2015	J	`jnl`	Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. CoRR Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
2015	—	`conf`	Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model. CVPR Workshops Linlin Xu, Mohammad Javad Shafiee, Alexander Wong, Fan Li, Lei Wang, David A. Clausi
2015	B	`conf`	PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling. ICIP Parthipan Siva, Mohammad Javad Shafiee, Francis Li, Alexander Wong
2015	J	`jnl`	Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. IEEE Access Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
2015	—	`conf`	Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider
2015	J	`jnl`	Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields. CoRR Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
2015	J	`jnl`	StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. CoRR Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong
2014	J	`jnl`	A deep-structured fully-connected random field model for structured inference. CoRR Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiaoyu Wang
2014	—	`conf`	Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model. EMBC Andrew Cameron, Amen Modhafar, Farzad Khalvati, Dorothy Lui, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider