APSIPA Summer School 2020

Venue: The University of Auckland, New Zealand

Date: 2020/12/11


Outline

An important mission of APSIPA ASC is to promote the education on signal and information technologies in the local region, and attract more students to join this promising research area. Therefore, we propose to organize a one-day summer school during APSIPA 2010 ASC in Auckland, New Zealand. This summer school will be a satellite event of the main conference, and just one day before the tutorial day, i.e., Dec. 11, 2020. In this summer school, we are going to provide a lecture titled “Data Driven Based Multimedia Technologies” on the five topics; Image and Volumetric Data Restoration, Image and video super-resolution, Intelligent Visual Editing, Bridging Images and Natural Language and Computer Graphics.

The features of APSIPA SS 2020 are as follows:

Theme Data Driven Based Multimedia Technologies
Date 2020/12/11
Venue The University of Auckland, New Zealand
Speakers 5 Scholars who attend APSIPA 2020, especially distinguished lectures in image and video research.
Main audience Colleague students, young researchers from universities in the local area.
Extra audience Colleague students from other areas to attend APSIPA ASC 2020
Lecture style Dealing with basic technology to applications for each session to have AI technology vision to colleague students and young researchers.

Organizers

Prof. Woon Seng Gan (NTU): APSIPA BOG member, education VP. In charge of resource allocation, program design, publicity

Prof. Sanghoon Lee (Yonsei University): APSIPA BOG member, the Vice EiC of the APSIPA Newsletter, speaker invitation, program design, publicity


Tentative program

Speaker Time Action
Shogo Muramatsu Niigata University, JAPAN 12:00 - 12:50 (10 minutes) Lecture 1 : Sparsity-Aware Image and Volumetric Data Restoration with Convolutional Dictionary Learning
Q & A
Huihui Bai Beijing Jiaotong University, China 13:00 - 13:50 (10 minutes) Lecture 2 : Exploration of image and video super-resolution based on deep learning
Q & A
Jiaying Liu Peking University, China 14:00 - 14:50 (10 minutes) Lecture 3 : Intelligent Visual Editing
Q & A
15:00 – 15:30 Coffee break
Jianfei Cai Monash University, Australia 15:30- 16:20 (10 minutes) Lecture 4 : Bridging Images and Natural Language with Deep Learning
Q & A
Sanghoon Lee, Yonsei University, Korea 16:30- 17:20 (10 minutes) Lecture 5 : Understanding, application and cognitive analysis of 3D imaging technology
Q & A

Tentative title and summary :

Shogo Muramatsu Niigata University, JAPAN (APSIPA DL)

Jiaying Liu, Peking University, China (APSIPA IVM TC Member)

Huihui Bai, Beijing Jiaotong University, China (APSIPA DL)

Jianfei Cai, Monash University, Australia

Sanghoon Lee, Yonsei University, Korea (APSIPA BoG)


Tentative speakers:

Lecturer: Shogo Muramatsu


Lecturer: Huihui Bai


Lecturer: Jiaying Liu


Lecturer: Jianfei Cai


Lecturer: Sanghoon Lee