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Mohammad Javad Shafiee
M. J. Shafiee
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2020 – today
- 2024
- [j22]Hossein Aboutalebi
, Mohammad Javad Shafiee
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access 12: 48174-48188 (2024) - [j21]Amir Nazemi
Memory-Efficient Continual Learning Object Segmentation for Long Videos. IEEE Access 12: 97067-97084 (2024) - [j20]Dening Lu
Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. Expert Syst. Appl. 252: 124129 (2024) - [i60]Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David A. Clausi:
Rink-Agnostic Hockey Rink Registration. CoRR abs/2401.01003 (2024) - 2023
- [c36]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: 15745-15751 - [c35]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: 2293-2297 - [c34]Jia Cheng Shang
Rink-Agnostic Hockey Rink Registration. MMSports@MM 2023: 73-81 - [i59]Alexander Wong, Yifan Wu, Saad Abbasi, Saeejith Nair, Yuhao Chen
Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. CoRR abs/2304.11196 (2023) - [i58]Saeejith Nair, Yuhao Chen, Mohammad Javad Shafiee, Alexander Wong:
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields. CoRR abs/2309.14293 (2023) - [i57]Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth:
Memory-Efficient Continual Learning Object Segmentation for Long Video. CoRR abs/2309.15274 (2023) - [i56]Saeejith Nair, Mohammad Javad Shafiee, Alexander Wong:
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence. CoRR abs/2312.05171 (2023) - 2022
- [c33]Carol Xu, Mahmoud Famouri, Gautam Bathla, Saeejith Nair
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection. CRV 2022: 219-223 - [c32]Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE: Microprocessor A Priori for Latency Estimation. CVPR Workshops 2022: 2746-2755 - [c31]Saeejith Nair
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CVPR Workshops 2022: 3659-3667 - [i55]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 abs/2204.11210 (2022) - [i54]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 abs/2204.11765 (2022) - [i53]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 abs/2204.11766 (2022) - [i52]Saeejith Nair, Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. CoRR abs/2204.12950 (2022) - [i51]Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge. CoRR abs/2205.12660 (2022) - [i50]Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. CoRR abs/2208.06980 (2022) - [i49]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 abs/2212.10632 (2022) - 2021
- [j19]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): 4805 (2021) - [j18]Mohammad Javad Shafiee
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. IEEE Signal Process. Mag. 38(1): 22-30 (2021) - [i48]Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong:
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. CoRR abs/2104.00528 (2021) - [i47]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 abs/2105.00256 (2021) - [i46]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 abs/2105.01284 (2021) - [i45]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Residual Error: a New Performance Measure for Adversarial Robustness. CoRR abs/2106.10212 (2021) - [i44]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 abs/2107.04144 (2021) - [i43]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 abs/2110.06063 (2021) - [i42]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 abs/2111.14319 (2021) - [i41]Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee:
MAPLE: Microprocessor A Priori for Latency Estimation. CoRR abs/2111.15106 (2021) - 2020
- [j17]Amir Nazemi, Zohreh Azimifar
Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning. IEEE Trans. Intell. Transp. Syst. 21(7): 3080-3090 (2020) - [c30]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: 1238-1247 - [i40]Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. CoRR abs/2003.01090 (2020) - [i39]Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems. CoRR abs/2003.08756 (2020) - [i38]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR abs/2008.00138 (2020) - [i37]Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee:
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers. CoRR abs/2009.14385 (2020) - [i36]Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong:
Self-Gradient Networks. CoRR abs/2011.09364 (2020) - [i35]Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong:
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning. CoRR abs/2012.13628 (2020)
2010 – 2019
- 2019
- [j16]Mohammad Javad Shafiee
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. Neurocomputing 352: 93-105 (2019) - [c29]Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. CVPR Workshops 2019: 95-98 - [c28]Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg:
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. CVPR Workshops 2019: 103-111 - [c27]Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong:
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates. CVPR Workshops 2019: 667-675 - [c26]Ameneh Boroomand, Bingyao Tan
A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy. ICIAR (2) 2019: 283-294 - [c25]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: 22-25 - [i34]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 abs/1909.05587 (2019) - [i33]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 abs/1910.01271 (2019) - [i32]Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong:
State of Compact Architecture Search For Deep Neural Networks. CoRR abs/1910.06466 (2019) - [i31]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 abs/1910.07387 (2019) - 2018
- [j15]Alexander Wong
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification. IEEE Access 6: 59803-59810 (2018) - [j14]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): 16:1-16:14 (2018) - [j13]Mohammad Javad Shafiee
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks. Neural Process. Lett. 48(1): 603-613 (2018) - [j12]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): 931-946 (2018) - [c24]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: 95-101 - [i30]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 abs/1801.05387 (2018) - [i29]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 abs/1802.06488 (2018) - [i28]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 abs/1804.00497 (2018) - [i27]Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong:
Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition. CoRR abs/1806.03028 (2018) - [i26]Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li:
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis. CoRR abs/1809.05989 (2018) - [i25]Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong:
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates. CoRR abs/1811.01476 (2018) - 2017
- [b1]Mohammad Javad Shafiee:
Randomly-connected Non-Local Conditional Random Fields. University of Waterloo, Ontario, Canada, 2017 - [j11]Mohammad Javad Shafiee
Deep Randomly-Connected Conditional Random Fields For Image Segmentation. IEEE Access 5: 366-378 (2017) - [c23]Brendan Chwyl, Audrey G. Chung, Mohammad Javad Shafiee, Yongji Fu, Alexander Wong:
DeepPredict: A deep predictive intelligence platform for patient monitoring. EMBC 2017: 4309-4312 - [c22]M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks. ICCV Workshops 2017: 979-986 - [c21]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: 1220-1227 - [c20]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: 45-53 - [c19]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: 54-62 - [c18]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: 107-116 - [i24]Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong:
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks. CoRR abs/1704.02081 (2017) - [i23]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 abs/1705.03572 (2017) - [i22]Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong:
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR abs/1707.00081 (2017) - [i21]Mohammad Javad Shafiee, Francis Li, Alexander Wong:
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks. CoRR abs/1707.00095 (2017) - [i20]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 abs/1709.02043 (2017) - [i19]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 abs/1709.05943 (2017) - [i18]Mohammad Javad Shafiee, Alexander Wong:
Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection. CoRR abs/1709.08248 (2017) - [i17]Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong:
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis. CoRR abs/1711.07459 (2017) - 2016
- [j10]Mohammad Javad Shafiee
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. IEEE Access 4: 1915-1924 (2016) - [j9]Edward Li, Mohammad Javad Shafiee
Sparse Reconstruction of Compressive Sensing Multi-Spectral Data Using an Inter-Spectral Multi-Layered Conditional Random Field Model. IEEE Access 4: 5540-5554 (2016) - [j8]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: 51 (2016) - [j7]Mohammad Javad Shafiee
NeRD: A Neural Response Divergence Approach to Visual Saliency Detection. IEEE Signal Process. Lett. 23(10): 1404-1408 (2016) - [j6]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): 2882-2890 (2016) - [j5]Ameneh Boroomand
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): 2587-2597 (2016) - [c17]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: 194-200 - [c16]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Embedded Motion Detection via Neural Response Mixture Background Modeling. CVPR Workshops 2016: 837-844 - [c15]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: 885-892 - [c14]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Efficient Deep Feature Learning and Extraction via StochasticNets. CVPR Workshops 2016: 1101-1109 - [c13]Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong:
A unified Bayesian-based compensated magnetic resonance imaging. EMBC 2016: 1192-1195 - [c12]Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong:
Random feature maps via a Layered Random Projection (LARP) framework for object classification. ICIP 2016: 246-250 - [c11]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: 694-698 - [i16]Parthipan Siva, Mohammad Javad Shafiee, Mike Jamieson, Alexander Wong:
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG). CoRR abs/1602.00386 (2016) - [i15]M. J. Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong:
NeRD: a Neural Response Divergence Approach to Visual Salience Detection. CoRR abs/1602.01728 (2016) - [i14]Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong:
Random Feature Maps via a Layered Random Projection (LaRP) Framework for Object Classification. CoRR abs/1602.01818 (2016) - [i13]Mohammad Javad Shafiee, Akshaya Kumar Mishra, Alexander Wong:
EvoNet: Evolutionary Synthesis of Deep Neural Networks. CoRR abs/1606.04393 (2016) - [i12]Mohammad Javad Shafiee, Alexander Wong:
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding. CoRR abs/1609.01360 (2016) - 2015
- [j4]Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiaoyu Wang:
A Deep-Structured Fully Connected Random Field Model for Structured Inference. IEEE Access 3: 469-477 (2015) - [j3]Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong:
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. IEEE Access 3: 2531-2541 (2015) - [j2]Ehsan Ahmadi
Document image binarization using a discriminative structural classifier. Pattern Recognit. Lett. 63: 36-42 (2015) - [j1]Mohammad Javad Shafiee, Shahid A. Haider, Alexander Wong, Dorothy Lui, Andrew Cameron, Ameen Modhafar, Paul W. Fieguth, Masoom A. Haider:
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields. IEEE Trans. Medical Imaging 34(5): 1111-1124 (2015) - [c10]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: 86-93 - [c9]Linlin Xu, Mohammad Javad Shafiee, Alexander Wong, Fan Li, Lei Wang, David A. Clausi:
Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model. CVPR Workshops 2015: 79-86 - [c8]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: 789-792 - [c7]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: 2159-2163 - [c6]Mohammad Javad Shafiee, Audrey G. Chung, Alexander Wong, Paul W. Fieguth:
Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. ICIP 2015: 3260-3264 - [c5]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: 1139-1142 - [i11]Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong:
A Deep-structured Conditional Random Field Model for Object Silhouette Tracking. CoRR abs/1501.00752 (2015) - [i10]Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth:
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. CoRR abs/1506.09110 (2015) - [i9]Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong:
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity. CoRR abs/1508.05463 (2015) - [i8]Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR abs/1509.00111 (2015) - [i7]Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR abs/1509.00117 (2015) - [i6]Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR abs/1511.03361 (2015) - [i5]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Efficient Deep Feature Learning and Extraction via StochasticNets. CoRR abs/1512.03844 (2015) - [i4]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. CoRR abs/1512.04636 (2015) - [i3]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Domain Adaptation and Transfer Learning in StochasticNets. CoRR abs/1512.05844 (2015) - [i2]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 abs/1512.07947 (2015) - 2014
- [c4]Andrew Cameron, Amen Modhafar, Farzad Khalvati, Dorothy Lui, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider:
Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model. EMBC 2014: 3357-3360 - [c3]M. J. Shafiee, Alexander Wong, Parthipan Siva, Paul W. Fieguth:
Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques. ICIP 2014: 4289-4293 - [i1]Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiaoyu Wang:
A deep-structured fully-connected random field model for structured inference. CoRR abs/1412.6586 (2014) - 2011
- [c2]M. J. Shafiee, Zohreh Azimifar, Alexander Wong, Paul W. Fieguth:
A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields. ISM 2011: 228-232 - 2010
- [c1]M. J. Shafiee, Zohreh Azimifar, Paul W. Fieguth:
Model-based tracking: Temporal conditional random fields. ICIP 2010: 4645-4648
Coauthor Index
[j22] [j20] [c36] [c35] [i59] [i58] [i56] [c33] [c32] [c31] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [j19] [j18] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [j17] [c30] [i40] [i39] [i38] [i37] [i36] [i35] [j16] [c29] [c27] [c26] [c25] [i34] [i33] [i32] [i31] [j15] [j14] [j13] [j12] [c24] [i30] [i29] [i28] [i27] [i26] [i25] [j11] [c23] [c22] [c21] [c20] [c19] [c18] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j10] [j9] [j8] [j7] [j6] [j5] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i16] [i15] [i14] [i13] [i12] [j4] [j3] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [c4] [c3] [i1] [c2]
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