Tag: apsipa

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APSIPA ASC 2024 Participation Report

APSIPA ASC 2024 was held at Galaxy International Convention Center, Macau, China, from December 3 to 6, 2024.

We gave the following presentation.

I had a valuable opportunity to deliver an oral presentation on-site.
I also had a highly meaningful experience, gaining valuable insights through interactions with individuals external to the organization.

Next year’s APSIPA ASC 2025 will be held in Singapore!

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APSIPA ASC 2021 @ Tokyo Participation Report

APSIPA ASC 2021 Tokyo was held at the Kokusai Fashion Center (KFC) in Ryogoku, Tokyo on December 14-17, 2021, as a hybrid online/on-site conference.

Kobayashi (M2) and Yamamoto (M1) gave the following presentations.

In addition, Muramatsu gave the following Distinguished Lecture at a pre-event, APSIPA 2021 Winter School, on December 13, 2021.

He was also received a certificate of appreciation for his contribution as Special Session Co-chair.

Next year’s APSIPA ASC 2022 will be held in Chiang Mai, Thailand!

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Presentation schedule after Sep. 2021

Internatinal Conference

  • Gai YAMAMOTO, Yuya KODAMA, Shogo MURAMATSU, Samuel CHOI, Gwanggil JEON, “ACCELERATION OF PDS–BASED HIGH–DIMENSIONAL SIGNAL RESTORATION,” APSIPA ASC 2021, Tokyo, Dec. 2021
  • Ruiki KOBAYASHI, Shogo MURAMATSU, Shunsuke ONO, “PROXIMAL GRADIENT-BASED LOOP UNROLLING WITH INTERSCALE THRESHOLDING,” APSIPA ASC 2021, Tokyo, Dec. 2021
  • Izbaila IMTIAZ, Imran AHMED, Gwanggil JEON, Shogo MURAMATSU, “AN EFFICIENT IMAGE PROCESSING AND MACHINE LEARNING BASED TECHNIQUE FOR SKIN LESION SEGMENTATION AND CLASSIFICATION,”   APSIPA ASC 2021, Tokyo, Dec. 2021
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APSIPA Distinguished Lecturer

I’ve been elected as an APSIPA Distinguished Lecturer for Term 2020-2021.

  • Title of Lecture: “Sparsity-Aware Image and Volumetric Data Restoration with Convolutional Dictionary Learning” etc.
  • Abstract: In this lecture, sparsity-aware restoration process of images and volumetric data is outlined. First, the purpose and application examples of image and volumetric data restoration are introduced. Then, the relationship between simultaneous equations and signal restoration is illustrated. The following topics are also summarized: Inner products and filtering, linear systems and matrices, filter banks and synthesis dictionaries, sparse modeling and MAP estimation, image generation and prior knowledge. Convolutional dictionary learning is also explained in connection with the design of parametric filter banks. Finally, the nonlinear extension of convolution dictionary is discussed and compared with convolutional neural networks (CNNs).
  • APSIPA – Education

Shogo MURAMATSU

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Presentation schedule after Aug. 2019

Internatinal Conference

  • Genki FUJII, Yuta YOSHIDA, Shogo MURAMATSU, Shunsuke ONO, Samuel CHOI, Takeru OTA, Fumiaki NIN, Hiroshi HIBINO: OCT Volumetric Data Restoration with Latent Distribution of Refractive Index, Proc. of 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Sept. 2019, to appear
  • Weiwei SHAN, Shogo MURAMATSU, Akira OSHIMA and Hiroyoshi YAMADA: Successive Stripe Artifact Removal Based on Robust PCA for Millimeter Wave Automotive Radar Image, Proc. of APSIPA ASC 2019, Lanzhou,  Dec. 2019, to appear
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Please Join to SS08 at APSIPA ASC 2017!

Call for Papers: SS08 – Advanced Topics on Structured Dictionary for Multidimensional Signal Processing

We are organizing a special session at APSIPA ASC 2017.

Date: 12-15th December 2017
Venue: Aloft Kuala Lumpur Sentral Sentral, Kuala Lumpur
Submission Deadline: 14 June 2017  30 June 2017 (final)

It is our great pleasure that you will contribute papers to the following special session.

Special Session ID:

SS08

Special Session Title:

Advanced Topics on Structured Dictionary for Multidimensional Signal Processing

Session Abstract:

Along with the diversification of the sensing environment and the development of computational sensing technology, the need for signal acquisition under poor environment or exceeding the device’s limitation is increasing day by day. From this background, it is an important task to improve the quality of image and volumetric data restoration techniques. With the spread of IoT technology, it is also essential to achieve compatibility between image and volumetric data compression and security. This special session consists of advanced topics on structured dictionaries that focus on sparse signal processing to achieve multidimensional signal restoration, compression, and security. We will balance the theory, design and application lecture, and promote multidisciplinary discussion.

Names of the Organizers:

Shogo Muramatsu, Assoc.Prof. (Niigata University)
Seisuke Kyochi, Assoc. Prof. (University of Kitakyushu)

Accepted Special Sessions

Please Join to SS08 at APSIPA ASC 2017!

Contact Infomaton is here.