Fredrick Park

According to our database1, Fredrick Park authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise.
Frontiers Comput. Sci., 2023

Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal.
CoRR, 2023

A Proximal Algorithm for Network Slimming.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation.
CoRR, 2022

2021
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation.
SIAM J. Imaging Sci., 2021

Improving Network Slimming With Nonconvex Regularization.
IEEE Access, 2021

2020
Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization.
Frontiers Appl. Math. Stat., 2020

Clustering COVID-19 Lung Scans.
CoRR, 2020

Nonconvex Regularization for Network Slimming: Compressing CNNs Even More.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019
𝓁<sub>0</sub> Regularized Structured Sparsity Convolutional Neural Networks.
CoRR, 2019

2016
A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU.
Parallel Comput., 2015

Image segmentation using clique based shape prior and the Mumford Shah Functional.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015


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