1 citations · 2 across the 9 of their papers we have counts for
8 papers · 1 filter
An Image Segmentation Model with Transformed Total Variation
Elisha Dayag, Kevin Bui, Fredrick Park +1
Based on transformed regularization, transformed total variation (TTV) has robust image recovery that is competitive with other nonconvex total variation (TV) regularizers…
A Proximal Algorithm for Network Slimming
Kevin Bui, Fanghui Xue, Fredrick Park +2
As a popular channel pruning method for convolutional neural networks (CNNs), network slimming (NS) has a three-stage process: (1) it trains a CNN with regularization appl…
Difference of Anisotropic and Isotropic TV for Segmentation under Blur and Poisson Noise
Kevin Bui, Yifei Lou, Fredrick Park +1
In this paper, we aim to segment an image degraded by blur and Poisson noise. We adopt a smoothing-and-thresholding (SaT) segmentation framework that finds a piecewise-smooth solut…
An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation
Kevin Bui, Yifei Lou, Fredrick Park +1
In this paper, we design an efficient, multi-stage image segmentation framework that incorporates a weighted difference of anisotropic and isotropic total variation (AITV). The seg…
Improving Network Slimming with Nonconvex Regularization
Kevin Bui, Fredrick Park, Shuai Zhang +2
Convolutional neural networks (CNNs) have developed to become powerful models for various computer vision tasks ranging from object detection to semantic segmentation. However, mos…
Clustering COVID-19 Lung Scans
Jacob Householder, Andrew Householder, John Paul Gomez-Reed +2
With the ongoing COVID-19 pandemic, understanding the characteristics of the virus has become an important and challenging task in the scientific community. While tests do exist fo…
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation
Kevin Bui, Fredrick Park, Yifei Lou +1
In a class of piecewise-constant image segmentation models, we propose to incorporate a weighted difference of anisotropic and isotropic total variation (AITV) to regularize the pa…
Regularized Structured Sparsity Convolutional Neural Networks
Kevin Bui, Fredrick Park, Shuai Zhang +2
Deepening and widening convolutional neural networks (CNNs) significantly increases the number of trainable weight parameters by adding more convolutional layers and feature maps p…