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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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COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images

Sep 08, 2020
Hayden Gunraj, Linda Wang, Alexander Wong

* 12 pages 

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TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices

Aug 23, 2020
Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana

* 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

* 18 pages 

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Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

Jul 22, 2020
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong


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Quantization in Relative Gradient Angle Domain For Building Polygon Estimation

Jul 10, 2020
Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong


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EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition

Jun 29, 2020
James Ren Hou Lee, Linda Wang, Alexander Wong

* 9 pages 

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Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity

May 27, 2020
Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong

* 7 pages 

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DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation

Apr 17, 2020
Linda Wang, Mahmoud Famouri, Alexander Wong

* 9 pages 

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COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Apr 15, 2020
Linda Wang, Alexander Wong

* 9 pages 

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COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images

Mar 30, 2020
Linda Wang, Alexander Wong

* 7 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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TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition

Mar 03, 2020
James Ren Hou Lee, Alexander Wong

* 8 pages, 3 figures 

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Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness

Mar 03, 2020
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

* 13 pages, 6 figures To be published in proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis

Jan 14, 2020
Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong


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Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification

Jan 10, 2020
Chris Dulhanty, Alexander Wong

* 2020 AAAI/ACM Conference on AI, Ethics, and Society (AIES 20) | V2 updated latex character rendering issues 

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Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection

Nov 27, 2019
Chris Dulhanty, Jason L. Deglint, Ibrahim Ben Daya, Alexander Wong

* Accepted to the AI for Social Good Workshop at NeurIPS 2019 

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DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions

Nov 21, 2019
Andrew Hryniowski, Alexander Wong

* 10 pages 

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Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms

Oct 29, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

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Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes

Oct 24, 2019
Kaylen J Pfisterer, Robert Amelard, Audrey G Chung, Braeden Syrnyk, Alexander MacLean, Alexander Wong


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