Mohammad Javad Shafiee

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 110

Top Venues

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Hossein Aboutalebi, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access 12 (2024)
Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth
Memory-Efficient Continual Learning Object Segmentation for Long Videos. IEEE Access 12 (2024)
Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David A. Clausi
Rink-Agnostic Hockey Rink Registration. CoRR (2024)
Dening Lu, Shimon Schwartz, Linlin Xu, Mohammad Javad Shafiee, Norman G. Vinson, Krzysztof J. Czarnecki, Alexander Wong
Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. Expert Syst. Appl. 252 (2024)
Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David A. Clausi
Rink-Agnostic Hockey Rink Registration. MMSports@MM (2023)
Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth
Memory-Efficient Continual Learning Object Segmentation for Long Video. CoRR (2023)
Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. CoRR (2023)
Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
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 (2023)
Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CoRR (2023)
Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. CoRR (2023)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. AAAI (2023)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection. CoRR (2022)
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge. CoRR (2022)
Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. CoRR (2022)
Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CoRR (2022)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CRV (2022)
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong
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 (2022)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. CoRR (2022)
Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CVPR Workshops (2022)
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE: Microprocessor A Priori for Latency Estimation. CVPR Workshops (2022)
Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CoRR (2022)
Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. Sensors 21 (14) (2021)
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Residual Error: a New Performance Measure for Adversarial Robustness. CoRR (2021)
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. CoRR (2021)
Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration. CoRR (2021)
Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR (2021)
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee
MAPLE: Microprocessor A Priori for Latency Estimation. CoRR (2021)
Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. CoRR (2021)
Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. CoRR (2021)
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. IEEE Signal Process. Mag. 38 (1) (2021)
Mohammad Javad Shafiee, Mahmoud Famouri, Gautam Bathla, Francis Li, Alexander Wong
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection. CoRR (2021)
Amir Nazemi, Zohreh Azimifar, Mohammad Javad Shafiee, Alexander Wong
Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning. IEEE Trans. Intell. Transp. Syst. 21 (7) (2020)
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. CVPR (2020)
Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong
Self-Gradient Networks. CoRR (2020)
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR (2020)
Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers. CoRR (2020)
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. CoRR (2020)
Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning. CoRR (2020)
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
Deep Neural Network Perception Models and Robust Autonomous Driving Systems. CoRR (2020)
Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. CoRR (2019)
Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. CVPR Workshops (2019)
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiaoyu Wang, Alexander Wong
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms. CoRR (2019)
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. Neurocomputing 352 (2019)
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong
State of Compact Architecture Search For Deep Neural Networks. CoRR (2019)
Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving. CoRR (2019)
Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. EMC2@NeurIPS (2019)
Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. CVPR Workshops (2019)
Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates. CVPR Workshops (2019)
Ameneh Boroomand, Bingyao Tan, Mohammad Javad Shafiee, Kostadinka K. Bizheva, Alexander Wong
A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy. ICIAR (2) (2019)
Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
Real-Time Embedded Motion Detection via Neural Response Mixture Modeling. J. Signal Process. Syst. 90 (6) (2018)
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks. CoRR (2018)
Mohammad Javad Shafiee, Akshaya Kumar Mishra, Alexander Wong
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks. Neural Process. Lett. 48 (1) (2018)
Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. CoRR (2018)
Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification. CoRR (2018)
Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection. CoRR (2018)
Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Medical Imaging 18 (1) (2018)
Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification. IEEE Access 6 (2018)
Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl
Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection. CRV (2018)
Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis. CoRR (2018)
Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates. CoRR (2018)
Ibrahim Ben Daya, Albert I. H. Chen, Mohammad Javad Shafiee, Alexander Wong, John T. W. Yeow
Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields. ICIAR (2017)
Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR (2017)
Brendan Chwyl, Audrey G. Chung, Mohammad Javad Shafiee, Yongji Fu, Alexander Wong
DeepPredict: A deep predictive intelligence platform for patient monitoring. EMBC (2017)
Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis. CoRR (2017)
Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks. CoRR (2017)
Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. ICCV Workshops (2017)
Mohammad Javad Shafiee, Francis Li, Alexander Wong
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks. CoRR (2017)
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. CoRR (2017)
Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR (2017)
Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth
Deep Randomly-Connected Conditional Random Fields For Image Segmentation. IEEE Access 5 (2017)
Mohammad Javad Shafiee, Brendan Chywl, Francis Li, Alexander Wong
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video. CoRR (2017)
Mohammad Javad Shafiee, Alexander Wong
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection. CoRR (2017)
Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis. CoRR (2017)
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields. BMC Medical Imaging 16 (2016)
Amir-Hossein Karimi, Mohammad Javad Shafiee, Christian Scharfenberger, I. BenDaya, Shahid A. Haider, N. Talukdar, David A. Clausi, Alexander Wong
Spatio-temporal saliency detection using abstracted fully-connected graphical models. ICIP (2016)
Parthipan Siva, Mohammad Javad Shafiee, Michael Jamieson, Alexander Wong
Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). CVPR Workshops (2016)
Mohammad Javad Shafiee, Akshaya Kumar Mishra, Alexander Wong
EvoNet: Evolutionary Synthesis of Deep Neural Networks. CoRR (2016)
Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
Random feature maps via a Layered Random Projection (LARP) framework for object classification. ICIP (2016)
Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
Efficient Deep Feature Learning and Extraction via StochasticNets. CVPR Workshops (2016)
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. IEEE Trans. Medical Imaging 35 (12) (2016)
Mohammad Javad Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong
NeRD: A Neural Response Divergence Approach to Visual Saliency Detection. IEEE Signal Process. Lett. 23 (10) (2016)
Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
Random Feature Maps via a Layered Random Projection (LaRP) Framework for Object Classification. CoRR (2016)
Edward Li, Mohammad Javad Shafiee, Farnoud Kazemzadeh, Alexander Wong
Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model. IEEE Access 4 (2016)
Parthipan Siva, Mohammad Javad Shafiee, Mike Jamieson, Alexander Wong
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). CoRR (2016)
Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. IEEE Access 4 (2016)
Mohammad Javad Shafiee, Alexander Wong
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding. CoRR (2016)
Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong
A unified Bayesian-based compensated magnetic resonance imaging. EMBC (2016)
Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong
Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions. CRV (2016)
Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
Embedded Motion Detection via Neural Response Mixture Background Modeling. CVPR Workshops (2016)
Linlin Xu, Mohammad Javad Shafiee, Alexander Wong, David A. Clausi
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. 9 (7) (2016)
Parthipan Siva, Mohammad Javad Shafiee, Francis Li, Alexander Wong
PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling. ICIP (2015)
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR (2015)
Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiaoyu Wang
A Deep-Structured Fully Connected Random Field Model for Structured Inference. IEEE Access 3 (2015)
Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI (2015)
Francis Li, Edward Li, Mohammad Javad Shafiee, Alexander Wong, John S. Zelek
Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model. CRV (2015)
Ehsan Ahmadi, Zohreh Azimifar, Maryam Shams, Mahmoud Famouri, Mohammad Javad Shafiee
Document image binarization using a discriminative structural classifier. Pattern Recognit. Lett. 63 (2015)
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields. CoRR (2015)
Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong
A Deep-structured Conditional Random Field Model for Object Silhouette Tracking. CoRR (2015)
F. Y. Li, Mohammad Javad Shafiee, Audrey G. Chung, Brendan Chwyl, Farnoud Kazemzadeh, Alexander Wong, John S. Zelek
High dynamic range map estimation via fully connected random fields with stochastic cliques. ICIP (2015)
Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohammad Javad Shafiee