no code implementations • 1 Dec 2021 • Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao
This paves the way for the industry to jointly design hardware and software architectures as well as large fleets with heterogeneous configurations.
2 code implementations • 8 Sep 2020 • 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.
1 code implementation • 29 Jun 2020 • 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 widespread deployment of such systems is their high architectural and computational complexities.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
2 code implementations • 26 May 2020 • Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong
Findings: The COVID-Net S deep neural networks yielded R$^2$ of 0. 664 $\pm$ 0. 032 and 0. 635 $\pm$ 0. 044 between predicted scores and radiologist scores for geographic extent and opacity extent, respectively, in stratified Monte Carlo cross-validation experiments.
no code implementations • 17 Apr 2020 • Linda Wang, Mahmoud Famouri, Alexander Wong
The result is a compact deep neural network with highly customized macroarchitecture and microarchitecture designs, as well as self-normalizing characteristics, that are highly tailored for the task of embedded depth estimation.
16 code implementations • 22 Mar 2020 • Linda Wang, Alexander Wong
Motivated by this and inspired by the open source efforts of the research community, in this study we introduce COVID-Net, a deep convolutional neural network design tailored for the detection of COVID-19 cases from chest X-ray (CXR) images that is open source and available to the general public.
no code implementations • 20 May 2019 • Linda Wang, Alexander Wong
Computer vision based technology is becoming ubiquitous in society.
no code implementations • 20 May 2019 • Linda Wang, Alexander Wong
To address these challenges, this study investigates creating an efficient object detection network specifically for OLIV, an AI-powered assistant for object localization for the visually impaired, via micro-architecture design exploration.
no code implementations • 16 Apr 2019 • Linda Wang
The responses of the MT columns, which encode the target stimulus, are compared to the results of an experiment conducted by Womelsdorf et al. on the receptive field shift and shrinkage in macaque MT area from selective attention.