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05/26/2020
Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung
Background: A critical step in effective care and treatment planning for...
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12/11/2019
PuckNet: Estimating hockey puck location from broadcast video
Puck location in ice hockey is essential for hockey analysts for determi...
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10/16/2019
Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
There has been a significant surge of interest recently around the conce...
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10/16/2019
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
There has been a significant surge of interest recently around the conce...
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10/15/2019
State of Compact Architecture Search For Deep Neural Networks
The design of compact deep neural networks is a crucial task to enable w...
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05/10/2019
EdgeSegNet: A Compact Network for Semantic Segmentation
In this study, we introduce EdgeSegNet, a compact deep convolutional neu...
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03/18/2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design
While deep neural networks have achieved state-of-the-art performance ac...
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01/26/2019
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks
Much of the focus in the area of knowledge distillation has been on dist...
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10/18/2018
