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DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera


May 20, 2021
William McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee


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COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images


May 14, 2021
Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong

* 12 pages. arXiv admin note: text overlap with arXiv:2105.00256 

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COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach


May 04, 2021
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stephane Tremblay, Alexander Wong

* Accepted to ICLR 2021 Workshop: Machine Learning for Preventing and Combating Pandemics 

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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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AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge


Apr 29, 2021
Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong

* 5 pages 

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Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics


Apr 24, 2021
Stone Yun, Alexander Wong

* Accepted for publication in Mobile AI (MAI) Workshop 2021 at CVPR 

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Localization of Ice-Rink for Broadcast Hockey Videos


Apr 22, 2021
Mehrnaz Fani, Pascale Berunelle Walters, David A. Clausi, John Zelek, Alexander Wong

* 6 pages, 2 figures, Poster in WiCV2021 

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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

* 7 pages 

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TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images


Apr 14, 2021
Alexander Wong, James Ren Hou Lee, Hadi Rahmat-Khah, Ali Sabri, Amer Alaref

* 10 pages 

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COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics


Mar 18, 2021
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong

* 12 pages, 5 figures, to be submitted to Nature Scientific Data 

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Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images


Mar 06, 2021
Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch

* 10 pages 

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COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning


Jan 26, 2021
Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong

* 15 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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Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics


Dec 07, 2020
Andrew Hryniowski, Alexander Wong

* 6 pages 

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FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints


Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for Publication at the 2020 Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2 2020) 

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Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks


Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for publication at the 6th Annual Conference on Computer Vision and Intelligent Systems (CVIS2020) 

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CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images


Nov 21, 2020
James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong

* 8 pages 

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EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution


Nov 17, 2020
William McNally, Kanav Vats, Alexander Wong, John McPhee


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Identifying and interpreting tuning dimensions in deep networks


Nov 05, 2020
Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor

* 14 pages, 12 figures, Shared Visual Representations in Human & Machine Intelligence NeurIPS Workshop 2020 

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Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning


Nov 03, 2020
Alexander Wong, Andrew Hryniowski, Xiao Yu Wang

* 9 pages 

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AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder


Oct 22, 2020
James Ren Hou Lee, Alexander Wong

* 4 pages, 1 figure 

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Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data


Oct 15, 2020
George Michalopoulos, Helen Chen, Alexander Wong

* 12 pages, 4 figures, to be published in The 3rd Clinical Natural Language Processing Workshop 

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Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities


Sep 30, 2020
Andrew Hryniowski, Xiao Yu Wang, Alexander Wong

* 5 pages 

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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

* 9 pages 

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How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks


Sep 20, 2020
Alexander Wong, Xiao Yu Wang, Andrew Hryniowski

* 13 pages 

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