Mohammad Javad Shafiee
Orcid: 0000-0001-5989-8255
According to our database1,
Mohammad Javad Shafiee
authored at least 99 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating.
IEEE Access, 2024
2023
CoRR, 2023
CoRR, 2023
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers.
CoRR, 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection.
CoRR, 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.
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection.
Proceedings of the 19th Conference on Robots and Vision, 2022
2021
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement.
IEEE Signal Process. Mag., 2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection.
Sensors, 2021
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection.
CoRR, 2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis.
CoRR, 2021
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration.
CoRR, 2021
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images.
CoRR, 2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images.
CoRR, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning.
CoRR, 2020
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers.
CoRR, 2020
CoRR, 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks.
Neurocomputing, 2019
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms.
CoRR, 2019
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving.
CoRR, 2019
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
J. Signal Process. Syst., 2018
Neural Process. Lett., 2018
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates.
CoRR, 2018
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis.
CoRR, 2018
CoRR, 2018
muNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification.
CoRR, 2018
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.
BMC Medical Imaging, 2018
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification.
IEEE Access, 2018
Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
2017
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis.
CoRR, 2017
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection.
CoRR, 2017
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video.
CoRR, 2017
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks.
CoRR, 2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection.
CoRR, 2017
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks.
CoRR, 2017
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions.
CoRR, 2017
IEEE Access, 2017
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model.
IEEE Trans. Medical Imaging, 2016
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., 2016
IEEE Signal Process. Lett., 2016
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG).
CoRR, 2016
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding.
CoRR, 2016
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields.
BMC Medical Imaging, 2016
IEEE Access, 2016
Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model.
IEEE Access, 2016
Spatio-temporal saliency detection using abstracted fully-connected graphical models.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Random feature maps via a Layered Random Projection (LARP) framework for object classification.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG).
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for Very Low-Light Conditions.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
2015
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields.
IEEE Trans. Medical Imaging, 2015
Pattern Recognit. Lett., 2015
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields.
CoRR, 2015
CoRR, 2015
IEEE Access, 2015
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework.
IEEE Access, 2015
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
High dynamic range map estimation via fully connected random fields with stochastic cliques.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015
Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
2014
Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2011
A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields.
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011
2010
Proceedings of the International Conference on Image Processing, 2010