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06/27/2020
Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
Deep learning motivated by convolutional neural networks has been highly...
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06/27/2020
Learning to Detect 3D Objects from Point Clouds in Real Time
In this work, we address the problem of 3D object detection from point c...
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06/27/2020
Generate High Fidelity Images With Generative Variational Autoencoder
In this work, we address the problem of blurred images which are often g...
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06/27/2020
Stochastic Bayesian Neural Networks
Bayesian neural networks perform variational inference over weights but ...
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05/29/2020
Bayesian Neural Network via Stochastic Gradient Descent
The goal of bayesian approach used in variational inference is to minimi...
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05/29/2020
On Using Transfer Learning For Plant Disease Detection
Deep neural networks have been highly successful in image classification...
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05/29/2020
Convolutional Neural Networks for Classifying Melanoma Images
In this work, we address the problem of skin cancer classification using...
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05/15/2020