Alexander Wong

research

∙ 06/02/2023

DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection

The tremendous recent advances in generative artificial intelligence tec...

0 Hossein Aboutalebi, et al. ∙

research

∙ 04/21/2023

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge

Multi-task learning has shown considerable promise for improving the per...

0 Alexander Wong, et al. ∙

research

∙ 04/12/2023

Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging

The prevalence of breast cancer continues to grow, affecting about 300,0...

0 Chi-en Amy Tai, et al. ∙

research

∙ 04/12/2023

A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data

Recently, a new form of magnetic resonance imaging (MRI) called syntheti...

0 Chi-en Amy Tai, et al. ∙

research

∙ 04/12/2023

NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models

With the growth in capabilities of generative models, there has been gro...

0 Chi-en Amy Tai, et al. ∙

research

∙ 04/12/2023

NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation

77 challenge to ensuring adequate nutritional intake. It has been report...

0 Chi-en Amy Tai, et al. ∙

research

∙ 04/10/2023

ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping

Object pose estimation is a critical task in robotics for precise object...

0 E. Zhixuan Zeng, et al. ∙

research

∙ 04/05/2023

Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound

Self-supervised pretraining has been observed to improve performance in ...

0 Blake VanBerlo, et al. ∙

research

∙ 02/05/2023

Recurrence With Correlation Network for Medical Image Registration

We present Recurrence with Correlation Network (RWCNet), a medical image...

0 Vignesh Sivan, et al. ∙

research

∙ 01/23/2023

PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge

There can be numerous electronic components on a given PCB, making the t...

0 Brian Li, et al. ∙

research

∙ 01/04/2023

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images

As the Coronavirus Disease 2019 (COVID-19) continues to impact many aspe...

0 Jessy Song, et al. ∙

research

∙ 12/20/2022

High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments

Light guide plates are essential optical components widely used in a div...

0 Carol Xu, et al. ∙

research

∙ 12/18/2022

Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification

Creating high-performance generalizable deep neural networks for phytopl...

0 Daniel Zhang, et al. ∙

research

∙ 12/06/2022

A Trustworthy Framework for Medical Image Analysis with Deep Learning

Computer vision and machine learning are playing an increasingly importa...

0 Kai Ma, et al. ∙

research

∙ 11/22/2022

COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation

As the COVID-19 pandemic continues to put a significant burden on health...

0 Pengyuan Shi, et al. ∙

research

∙ 11/18/2022

A Fair Loss Function for Network Pruning

Model pruning can enable the deployment of neural networks in environmen...

0 Robbie Meyer, et al. ∙

research

∙ 11/18/2022

SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence

In electronics manufacturing, solder joint defects are a common problem ...

0 Hayden Gunraj, et al. ∙

research

∙ 11/10/2022

Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging

Breast cancer is the second most common type of cancer in women in Canad...

0 Chi-en Amy Tai, et al. ∙

research

∙ 10/19/2022

MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy

Recently, there has been tremendous interest in industry 4.0 infrastruct...

0 Yuhao Chen, et al. ∙

research

∙ 08/26/2022

GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks

Deep convolutional neural network (CNN) training via iterative optimizat...

0 Stone Yun, et al. ∙

research

∙ 08/15/2022

Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers

With the growing adoption of deep learning for on-device TinyML applicat...

0 Alexander Wong, et al. ∙

research

∙ 08/08/2022

MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis

Autonomous bin picking poses significant challenges to vision-driven rob...

0 Maximilian Gilles, et al. ∙

research

∙ 08/03/2022

Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms

Climate change is increasing the frequency and severity of harmful algal...

0 Nitpreet Bamra, et al. ∙

research

∙ 07/19/2022

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography

Building AI models with trustworthiness is important especially in regul...

23 Kai Ma, et al. ∙

research

∙ 06/08/2022

COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics

After more than two years since the beginning of the COVID-19 pandemic, ...

0 Maya Pavlova, et al. ∙

research

∙ 06/07/2022

COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images

Computed tomography (CT) has been widely explored as a COVID-19 screenin...

0 Tia Tuinstra, et al. ∙

research

∙ 05/25/2022

MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge

Deep neural network (DNN) latency characterization is a time-consuming p...

0 Saad Abbasi, et al. ∙

research

∙ 05/18/2022

COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos

Besides vaccination, as an effective way to mitigate the further spread ...

6 Hilda Azimi, et al. ∙

research

∙ 04/29/2022

COVID-Net US-X: Enhanced Deep Neural Network for Detection of COVID-19 Patient Cases from Convex Ultrasound Imaging Through Extended Linear-Convex Ultrasound Augmentation Learn

As the global population continues to face significant negative impact b...

15 E. Zhixuan Zeng, et al. ∙

research

∙ 04/27/2022

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices

Neural Architecture Search (NAS) has enabled automatic discovery of more...

0 Saeejith Nair, et al. ∙

research

∙ 04/25/2022

CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection

Photovoltaic cells are electronic devices that convert light energy to e...

0 Carol Xu, et al. ∙

research

∙ 04/25/2022

LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection

Light guide plates are essential optical components widely used in a div...

0 Carol Xu, et al. ∙

research

∙ 04/24/2022

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 Bioch

Ever since the declaration of COVID-19 as a pandemic by the World Health...

0 Hossein Aboutalebi, et al. ∙

research

∙ 04/21/2022

ICDBigBird: A Contextual Embedding Model for ICD Code Classification

The International Classification of Diseases (ICD) system is the interna...

0 George Michalopoulos, et al. ∙

research

∙ 04/20/2022

FenceNet: Fine-grained Footwork Recognition in Fencing

Current data analysis for the Canadian Olympic fencing team is primarily...

0 Kevin Zhu, et al. ∙

research

∙ 02/22/2022

Improving Classification Model Performance on Chest X-Rays through Lung Segmentation

Chest radiography is an effective screening tool for diagnosing pulmonar...

5 Hilda Azimi, et al. ∙

research

∙ 01/22/2022

Bag of Tricks for Natural Policy Gradient Reinforcement Learning

Natural policy gradient methods are popular reinforcement learning metho...

0 Brennan Gebotys, et al. ∙

research

∙ 12/29/2021

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

There has been increasing interest in smart factories powered by robotic...

16 Yuhao Chen, et al. ∙

research

∙ 12/14/2021

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

Effective representation learning is the key in improving model performa...

57 Siyuan He, et al. ∙

research

∙ 12/08/2021

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

Half of long-term care (LTC) residents are malnourished increasing hospi...

6 Kaylen J. Pfisterer, et al. ∙

research

∙ 11/30/2021

MAPLE: Microprocessor A Priori for Latency Estimation

Modern deep neural networks must demonstrate state-of-the-art accuracy w...

0 Saad Abbasi, et al. ∙

research

∙ 11/29/2021

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

A critical aspect in the manufacturing process is the visual quality ins...

0 Mohammad Javad Shafiee, et al. ∙

research

∙ 11/18/2021

M2A: Motion Aware Attention for Accurate Video Action Recognition

Advancements in attention mechanisms have led to significant performance...

6 Brennan Gebotys, et al. ∙

research

∙ 11/16/2021

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

In keypoint estimation tasks such as human pose estimation, heatmap-base...

0 William McNally, et al. ∙

research

∙ 10/12/2021

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

Medical image analysis continues to hold interesting challenges given th...

0 Hossein Aboutalebi, et al. ∙

research

∙ 09/14/2021

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

The COVID-19 pandemic continues to have a devastating global impact, and...

0 Audrey Chung, et al. ∙

research

∙ 09/14/2021

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

As the COVID-19 pandemic continues to devastate globally, one promising ...

0 Audrey G. Chung, et al. ∙

research

∙ 09/08/2021

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

While significant research advances have been made in the field of deep ...

28 Maziar Gomrokchi, et al. ∙

research

∙ 08/05/2021

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 Imagin

The Coronavirus Disease 2019 (COVID-19) pandemic has impacted many aspec...

5 Alexander MacLean, et al. ∙

research

∙ 07/11/2021

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

Lexical substitution is the task of generating meaningful substitutes fo...

0 George Michalopoulos, et al. ∙

Alexander Wong

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