output
20162020
most citedWhen Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care

27 citations

6 papers

cs.CV2020★ 1 cited

TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition

James Ren Hou Lee, Alexander Wong

A core challenge faced by the majority of individuals with Autism Spectrum Disorder (ASD) is an impaired ability to infer other people's emotions based on their facial expressions.…

cs.CV2019★ 27 cited

When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care

Kaylen J Pfisterer, Robert Amelard, Audrey G Chung +4

Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inf…

eess.IV2019

Monocular 3D Sway Tracking for Assessing Postural Instability in Cerebral Hypoperfusion During Quiet Standing

Robert Amelard, Kevin R Murray, Eric T Hedge +4

Postural instability is prevalent in aging and neurodegenerative disease, decreasing quality of life and independence. Quantitatively monitoring balance control is important for as…

cs.CV2018★ 1 cited

Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks

Audrey Chung, Paul Fieguth, Alexander Wong

Evolutionary deep intelligence has recently shown great promise for producing small, powerful deep neural network models via the organic synthesis of increasingly efficient archite…

cs.CV2017★ 20 cited

A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations

Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung +1

Dysphagia affects 590 million people worldwide and increases risk for malnutrition. Pureed food may reduce choking, however preparation differences impact nutrient density making q…

q-bio.QM2016★ 11 cited

Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems

Robert Amelard, David A Clausi, Alexander Wong

Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Though spatial context…