Alexander Wong

research

∙ 09/14/2023

NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches

Accurate dietary intake estimation is critical for informing policies an...

0 Chi-en Amy Tai, et al. ∙

research

∙ 09/05/2023

Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks

In this study, we investigated whether self-supervised pretraining could...

0 Blake VanBerlo, et al. ∙

research

∙ 09/05/2023

A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images

Self-supervised pretraining has been observed to be effective at improvi...

0 Blake VanBerlo, et al. ∙

research

∙ 08/22/2023

TurboViT: Generating Fast Vision Transformers via Generative Architecture Search

Vision transformers have shown unprecedented levels of performance in ta...

0 Alexander Wong, et al. ∙

research

∙ 06/28/2023

GoalieNet: A Multi-Stage Network for Joint Goalie, Equipment, and Net Pose Estimation in Ice Hockey

In the field of computer vision-driven ice hockey analytics, one of the ...

0 Marjan Shahi, et al. ∙

research

∙ 06/16/2023

Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis

Self-attention mechanisms are commonly included in a convolutional neura...

0 Andre Hryniowski, et al. ∙

research

∙ 06/15/2023

Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions

Food image segmentation is an important task that has ubiquitous applica...

0 Grant Sinha, et al. ∙

research

∙ 06/14/2023

Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability

Explainability plays a crucial role in providing a more comprehensive un...

0 E. Zhixuan Zeng, et al. ∙

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. ∙

Alexander Wong

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