1 citations · 2 across the 9 of their papers we have counts for
9 papers
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…
Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising
Kevin Bui, Yifei Lou, Fredrick Park +1
Poisson noise commonly occurs in images captured by photon-limited imaging systems such as in astronomy and medicine. As the distribution of Poisson noise depends on the pixel inte…
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…