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Rethinking movie genre classification with fine-grained semantic clustering
Movie genre classification is an active research area in machine learnin...
12/04/2020 ∙ by Edward Fish, et al. ∙
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Neural Architecture Search for Deep Image Prior
We present a neural architecture search (NAS) technique to enhance the p...
01/14/2020 ∙ by Kary Ho, et al. ∙
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Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach
Two-dimensional echocardiography (2DE) measurements of left ventricle (L...
11/06/2019 ∙ by Andrew Gilbert, et al. ∙
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User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing
Spectral Doppler measurements are an important part of the standard echo...
11/06/2019 ∙ by Andrew Gilbert, et al. ∙
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Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer
Spectral Doppler measurements are an important part of the standard echo...
11/06/2019 ∙ by Andrew Gilbert, et al. ∙
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Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras
We present an approach to accurately estimate high fidelity markerless 3...
08/08/2019 ∙ by Andrew Gilbert, et al. ∙
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Volumetric performance capture from minimal camera viewpoints
We present a convolutional autoencoder that enables high fidelity volume...
07/05/2018 ∙ by Andrew Gilbert, et al. ∙
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Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling
We present a method for simultaneously estimating 3D human pose and body...
07/04/2018 ∙ by Matthew Trumble, et al. ∙
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Image and Video Mining through Online Learning
Within the field of image and video recognition, the traditional approac...
09/09/2016 ∙ by Andrew Gilbert, et al. ∙
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