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

7 citations · 12 across the 6 of their papers we have counts for

collaborators

8 papers

eess.IV2020

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

Hayden Gunraj, Linda Wang, Alexander Wong

The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous impact on patients and healthcare systems around the world. In the fight against this novel disease,…

cs.CV2020

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

James Ren Hou Lee, Linda Wang, Alexander Wong

While recent advances in deep learning have led to significant improvements in facial expression classification (FEC), a major challenge that remains a bottleneck for the widesprea…

eess.IV2020

COVID-Net S: Towards computer-aided severity assessment via 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

Alexander Wong, Zhong Qiu Lin, Linda Wang +5

Background: A critical step in effective care and treatment planning for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of the COVID-19 pandemic, is the as…

cs.CV20207 cited

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

Linda Wang, Mahmoud Famouri, Alexander Wong

Depth estimation is an active area of research in the field of computer vision, and has garnered significant interest due to its rising demand in a large number of applications ran…

eess.IV2020

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

Linda Wang, Alexander Wong

The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. A critical step in the fight against COVID-19 is effective scree…

cs.CV20195 cited

Implications of Computer Vision Driven Assistive Technologies Towards Individuals with Visual Impairment

Linda Wang, Alexander Wong

Computer vision based technology is becoming ubiquitous in society. One application area that has seen an increase in computer vision is assistive technologies, specifically for th…