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07/05/2023
Base Layer Efficiency in Scalable Human-Machine Coding
A basic premise in scalable human-machine coding is that the base layer ...
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05/26/2023
Rate-Distortion Theory in Coding for Machines and its Application
Recent years have seen a tremendous growth in both the capability and po...
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05/04/2023
Conditional and Residual Methods in Scalable Coding for Humans and Machines
We present methods for conditional and residual coding in the context of...
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09/21/2022
Rate-Distortion in Image Coding for Machines
In recent years, there has been a sharp increase in transmission of imag...
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06/08/2020
Graph Representation Learning Network via Adaptive Sampling
Graph Attention Network (GAT) and GraphSAGE are neural network architect...
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10/29/2019
Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images
This research project studies the impact of convolutional neural network...
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10/28/2019
A Comparison of Neural Network Training Methods for Text Classification
We study the impact of neural networks in text classification. Our focus...
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10/25/2019
DENS: A Dataset for Multi-class Emotion Analysis
We introduce a new dataset for multi-class emotion analysis from long-fo...
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10/25/2019