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MetaGraspNet: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis


Dec 30, 2021
Yuhao Chen, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong


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Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications


Dec 14, 2021
Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stephane Tremblay, Alexander Wong

* Published at CVIS 2021: 7th Annual Conference on Vision and Intelligent Systems 
* 3 pages 

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Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology


Dec 08, 2021
Kaylen J. Pfisterer, Robert Amelard, Jennifer Boger, Audrey G. Chung, Heather H. Keller, Alexander Wong

* Key words: Automatic segmentation, convolutional neural network, deep learning, food intake tracking, volume estimation, malnutrition prevention, long-term care, hospital 

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MAPLE: Microprocessor A Priori for Latency Estimation


Nov 30, 2021
Saad Abbasi, Alexander Wong, Mohammad Javad Shafiee

* 11 pages, 3 figures 

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TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection


Nov 29, 2021
Mohammad Javad Shafiee, Mahmoud Famouri, Gautam Bathla, Francis Li, Alexander Wong

* 6 pages 

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M2A: Motion Aware Attention for Accurate Video Action Recognition


Nov 18, 2021
Brennan Gebotys, Alexander Wong, David A. Clausi


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Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation


Nov 17, 2021
William McNally, Kanav Vats, Alexander Wong, John McPhee


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MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis


Oct 12, 2021
Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong


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COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification


Sep 14, 2021
Audrey Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong

* 5 pages 

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COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow


Sep 14, 2021
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong

* 4 pages 

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Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning


Sep 08, 2021
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup


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COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging


Aug 05, 2021
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong

* 12 pages 

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LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution


Jul 11, 2021
George Michalopoulos, Ian McKillop, Alexander Wong, Helen Chen

* 11 pages, 1 figure 

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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

* 8 pages 

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SALT: Sea lice Adaptive Lattice Tracking -- An Unsupervised Approach to Generate an Improved Ocean Model


Jun 24, 2021
Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint

* 5 pages, 3 figures, 3 tables 

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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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Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications


Jun 16, 2021
Alexander Wong, Adam Dorfman, Paul McInnis, Hayden Gunraj

* 4 pages 

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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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