Tag: convolutional sparse coding

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Accepted by IEEE/IEIE ICCE-Asia 2020

The following research topic has been accepted by IEEE/IEIE ICCE-Asia @Seoul, Republic of Korea

Title: ‘Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks’
Authors: Ruiki Kobayashi and Shogo Muramatsu

The following tutorial is also planed.

Tutorial Title: Sparsity-Aware High-Dimensional Data Restoration with Convolutional Dictionary Learning
Lecturer: Shogo Muramatsu

The event was postponed from April to November due to the impact of COVID-19.

 

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Accepted by IEEE ICIP 2019

The following work was accepted by IEEE ICIP2019@Taipei（台湾）に採択されました。
Title: ‘OCT VOLUMETRIC DATA RESTORATION WITH LATENT DISTRIBUTION OF REFRACTIVE INDEX’
Authors: Genki Fujii, Yuta Yoshida, Shogo Muramatsu, Shunsuke Ono, Samuel Choi, Takeru Ota, Fumiaki Nin, Hiroshi Hibino

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Accepted by IEEE ICASSP 2019

The following work was accepted by IEEE ICASSP2019@Brighton (UK).

Title: ‘CONVOLUTIONAL-SPARSE-CODED DYNAMIC MODE DECOMPOSITION AND ITS APPLICATION TO RIVER STATE ESTIMATION’
Authors: Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake, Shunsuke Ono, Masahiro Yukawa
Session Type: Poster
Session Title: ‘Enhancement and Restoration II’