245 citations · 248 across the 12 of their papers we have counts for
7 papers · 1 filter
Deep Image Prior with L0 Gradient Regularizer for Image Smoothing
Nhat Thanh Tran, Kevin Bui, Jack Xin
Image smoothing is a fundamental image processing operation that preserves the underlying structure, such as strong edges and contours, and removes minor details and textures in an…
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…
PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression
Jiahao Pang, Kevin Bui, Dong Tian
The universality of the point cloud format enables many 3D applications, making the compression of point clouds a critical phase in practice. Sampled as discrete 3D points, a point…
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…