MIRU International Lunch

(MILu)

Welcome to the MIRU International Lunch

Cutting-edge research in Computer Vision focuses a lot of attention all over the world (this year top international conferences in computer vision received more than 4000 paper submissions). In this very fast and competitive research community it is important to keep an open mind towards international trends and research activities. The Japanese community is a leader for international research on computer vision, whether through international collaborations, research visit or long stay in foreign laboratories, or student exchanges. But today, the Japanese community is facing an unprecedented competition on the international scene with the sudden growth of the international and asian community in computer vision. The international lunch at MIRU aims at gathering all participants of the Japanese MIRU conference interested in maintaining and fostering links at the international level. We believe this is an extraordinary opportunity to strengthened Japanese research community and keep an open mind on international research activities.

~~ もちろん、日本の方もウェルカムです。 ~~

The lunch will be composed of a keynote presentation, and a free discussion between participants, while enjoying a (free) bento lunch but registration is mandatory.

In order to encourage cohesion among members, we will keep the group at a small scale with a maximum of 32 participants on a first-registered first-served basis.


Benjamin Renoust, Osaka University, Institute for Datability Science, renoust [at] ids.osaka-u.ac.jp

Diego Thomas, Kyushu University, Laboratory for Image and Media Understanding, thomas [at] ait.kyushu-u.ac.jp

Yusuke Matsui, The University of Tokyo, Institute of Industrial Science, ymatsui [at] iis.u-tokyo.ac.jp

Keynote Speaker

Matthew Holland received his PhD in Information Science from Nara Institute of Science and Technology in December 2017. After joining the Institute of Datability Science in 2018, he became an Assistant Professor at the Institute of Scientific and Industrial Research at Osaka University in 2019. His research interests lie chiefly in the theoretical foundations of machine learning, and how integrating these insights with existing optimization techniques can lead to more efficient and reliable learning algorithms.

From Kanji to wind power to empirical processes

Abstract: Looking back on 10 years of study and research in Japan, the integration of domestic and international communities over this period has been remarkable. At the same time, the deepening of the collaborative and almost symbiotic relationship between the machine learning and computer vision communities has been equally remarkable. How can we further develop Japan as a global hub for vision and learning research? What are the fundamental limitations of existing learning algorithms and our experimental methodology? In pursuit of further progress on both fronts, in this talk I hope to stimulate discussion on these and related matters.

Registration

Registration is closed

Date and place

July 30th: Lunch time (intended 12:00-13:30, but may be delayed due to previous talks) at room 1102, same location as MIRU

グランキューブ大阪（大阪府立国際会議場）〒530-0005 大阪府大阪市北区中之島5丁目3-51

https://goo.gl/maps/ug5GWNPdeTE2

Program

12:00-12:25: Introduction

12:25-13:10: Keynote

13:10-13:30: Open discussion

Sponsor