Search Results for author: Linda Wang

Found 9 papers, 4 papers with code

Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles

no code implementations1 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.

3D Object Detection Autonomous Driving +1

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

1 code implementation8 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.

Decision Making

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

1 code implementation29 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 Marketing

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

2 code implementations26 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.

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

no code implementations17 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.

Autonomous Vehicles Monocular Depth Estimation

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

16 code implementations22 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.

COVID-19 Diagnosis

Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration

no code implementations20 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.

object-detection Object Detection +1

Response of Selective Attention in Middle Temporal Area

no code implementations16 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.