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Mohammad Javad Shafiee

Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration


Jul 08, 2021
Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong

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* 8 pages 
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Residual Error: a New Performance Measure for Adversarial Robustness


Jun 18, 2021
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

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COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images


May 04, 2021
Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong

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COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images


May 01, 2021
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong

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OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection


Apr 19, 2021
Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong

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* 7 pages 
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A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning


Dec 25, 2020
Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong

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AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers


Sep 30, 2020
Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee

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* 9 pages 
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Vulnerability Under Adversarial Machine Learning: Bias or Variance?


Aug 01, 2020
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

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* 18 pages 
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Deep Neural Network Perception Models and Robust Autonomous Driving Systems


Mar 04, 2020
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul Fieguth, Alexander Wong

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