Kevin Bui

According to our database, Kevin Bui authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Negative Binomial Matrix Completion.

Yu Lu, Kevin Bui, Roummel F. Marcia

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Alternating Direction Method of Multipliers for Negative Binomial Model with the Weighted Difference of Anisotropic and Isotropic Total Variation.

Yu Lu, Kevin Bui, Roummel F. Marcia

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

An Image Segmentation Model with Transformed Total Variation.

Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin

Proceedings of the 32nd European Signal Processing Conference, 2024

PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression.

Jiahao Pang, Kevin Bui, Dong Tian

Proceedings of the International Conference on 3D Vision, 2024

2023

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise.

Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin

Frontiers Comput. Sci., 2023

Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal.

Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin

CoRR, 2023

A Stochastic ADMM Algorithm for Large-Scale Ptychography with Weighted Difference of Anisotropic and Isotropic Total Variation.

Kevin Bui, Zichao Di

CoRR, 2023

A Proximal Algorithm for Network Slimming.

Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising.

Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation.

Kevin Bui, Yifei Lou, Fredrick Park, Jack Xin

CoRR, 2022

Informatics for Integrating Biology and the Bedside (i2b2) in 2022: Single Sign On and Synthetic Data.

Jeffrey G. Klann, Michael Mendis, Kevin Bui, Griffin M. Weber, Diane Keogh, Shawn N. Murphy

Proceedings of the AMIA 2022, 2022

2021

A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation.

Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin

SIAM J. Imaging Sci., 2021

Improving Network Slimming With Nonconvex Regularization.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

IEEE Access, 2021

2020

Segmentation of scanning tunneling microscopy images using variational methods and empirical wavelets.

Kevin Bui, Jacob Fauman, David Kes, Leticia Torres Mandiola, Adina Ciomaga, Ricardo Salazar, Andrea L. Bertozzi, Jérôme Gilles, Dominic P. Goronzy, Andrew I. Guttentag, Paul S. Weiss

Pattern Anal. Appl., 2020

Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

Frontiers Appl. Math. Stat., 2020

Nonconvex Regularization for Network Slimming: Compressing CNNs Even More.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019

𝓁₀ Regularized Structured Sparsity Convolutional Neural Networks.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

CoRR, 2019

2018

Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical Wavelets.

Kevin Bui, Jacob Fauman, David Kes, Leticia Torres Mandiola, Adina Ciomaga, Ricardo Salazar, Andrea L. Bertozzi, Jérôme Gilles, Andrew I. Guttentag, Paul S. Weiss

CoRR, 2018