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09/14/2023
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches
Accurate dietary intake estimation is critical for informing policies an...
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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...
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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...
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08/22/2023
TurboViT: Generating Fast Vision Transformers via Generative Architecture Search
Vision transformers have shown unprecedented levels of performance in ta...
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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 ...
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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...
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06/15/2023
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions
Food image segmentation is an important task that has ubiquitous applica...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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04/10/2023
ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping
Object pose estimation is a critical task in robotics for precise object...
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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 ...
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02/05/2023
Recurrence With Correlation Network for Medical Image Registration
We present Recurrence with Correlation Network (RWCNet), a medical image...
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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...
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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...
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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...
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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...
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12/06/2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning
Computer vision and machine learning are playing an increasingly importa...
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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...
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11/18/2022
A Fair Loss Function for Network Pruning
Model pruning can enable the deployment of neural networks in environmen...
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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 ...
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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...
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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...
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08/26/2022
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks
Deep convolutional neural network (CNN) training via iterative optimizat...
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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...
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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...
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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...
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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...
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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, ...
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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...
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05/25/2022
MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge
Deep neural network (DNN) latency characterization is a time-consuming p...
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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 ...
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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...
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04/27/2022
MAPLE-Edge: A Runtime Latency Predictor for Edge Devices
Neural Architecture Search (NAS) has enabled automatic discovery of more...
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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...
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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...
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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...
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04/21/2022
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
The International Classification of Diseases (ICD) system is the interna...
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04/20/2022
FenceNet: Fine-grained Footwork Recognition in Fencing
Current data analysis for the Canadian Olympic fencing team is primarily...
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02/22/2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Chest radiography is an effective screening tool for diagnosing pulmonar...
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01/22/2022
Bag of Tricks for Natural Policy Gradient Reinforcement Learning
Natural policy gradient methods are popular reinforcement learning metho...
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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...
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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...
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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...
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11/30/2021
MAPLE: Microprocessor A Priori for Latency Estimation
Modern deep neural networks must demonstrate state-of-the-art accuracy w...
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11/29/2021