Keng-Shih Lu

Orcid: 0000-0002-2085-8114

According to our database1, Keng-Shih Lu authored at least 14 papers between 2015 and 2022.

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

Timeline

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Bibliography

2022
DCT and DST Filtering With Sparse Graph Operators.
IEEE Trans. Signal Process., 2022

Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Non-Separable Filtering with Side-Information and Contextually-Designed Filters for Next Generation Video Codecs.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Generalized Optical Flow based Motion Vector Refinement in AV1.
Proceedings of the Picture Coding Symposium, 2021

2020
Perceptually Inspired Weighted MSE Optimization Using Irregularity-Aware Graph Fourier Transform.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Fast Graph Fourier Transforms Based on Graph Symmetry and Bipartition.
IEEE Trans. Signal Process., 2019

Lapped Transforms: A Graph-based Extension.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Constrained Null Space Component Analysis for Semiblind Source Separation Problem.
IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Rate-distortion Approximation and Transform Type Selection using Laplacian Operators.
Proceedings of the 2018 Picture Coding Symposium, 2018

On Learning Laplacians of Tree Structured Graphs.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
A graph laplacian matrix learning method for fast implementation of graph fourier transform.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Fast implementation for symmetric non-separable transforms based on grids.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Symmetric line graph transforms for inter predictive video coding.
Proceedings of the 2016 Picture Coding Symposium, 2016

2015
Intrinsic Integer-Periodic Functions for Discrete Periodicity Detection.
IEEE Signal Process. Lett., 2015


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