Search Results for author: Mahmoud Famouri

Found 12 papers, 2 papers with code

Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers

no code implementations15 Aug 2022 Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri

With the growing adoption of deep learning for on-device TinyML applications, there has been an ever-increasing demand for more efficient neural network backbones optimized for the edge.

LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection

no code implementations25 Apr 2022 Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong

Light guide plates are essential optical components widely used in a diverse range of applications ranging from medical lighting fixtures to back-lit TV displays.

Defect Detection

COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification

no code implementations14 Sep 2021 Audrey Chung, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong

The COVID-19 pandemic continues to have a devastating global impact, and has placed a tremendous burden on struggling healthcare systems around the world.

Decision Making

AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge

no code implementations29 Apr 2021 Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski, Alexander Wong

In this study, we introduce \textbf{AttendSeg}, a low-precision, highly compact deep neural network tailored for on-device semantic segmentation.

Semantic Segmentation

Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images

1 code implementation6 Mar 2021 Alexander Wong, Jack Lu, Adam Dorfman, Paul McInnis, Mahmoud Famouri, Daniel Manary, James Ren Hou Lee, Michael Lynch

Pulmonary fibrosis is a devastating chronic lung disease that causes irreparable lung tissue scarring and damage, resulting in progressive loss in lung capacity and has no known cure.

Computed Tomography (CT) Decision Making +1

CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images

1 code implementation21 Nov 2020 James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong

Motivated by the advances of deep learning and inspired by the open source initiatives in the research community, in this study we introduce CancerNet-SCa, a suite of deep neural network designs tailored for the detection of skin cancer from dermoscopy images that is open source and available to the general public as part of the Cancer-Net initiative.


AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers

no code implementations30 Sep 2020 Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee

Based on these promising results, AttendNets illustrate the effectiveness of visual attention condensers as building blocks for enabling various on-device visual perception tasks for TinyML applications.

TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices

no code implementations10 Aug 2020 Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana

In this study, we introduce the concept of attention condensers for building low-footprint, highly-efficient deep neural networks for on-device speech recognition on the edge.

speech-recognition Speech Recognition

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

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