November 10, 2023
At the 79th Meeting of the IPSJ Special Interest Group on Ubiquitous Computing Systems (SIGUBI), Rina Motoyama (3rd-year student, Faculty of Policy Management), a member of the laboratory of Professor Jin Nakazawa and Associate Professor Tadashi Okoshi of the Faculty of Environment and Information Studies, won the "Outstanding Paper Award." Ryotaro Hamada (4th-year student, Faculty of Policy Management) and Kaho Sata (3rd-year student, Faculty of Environment and Information Studies) received the "UBI Young Researcher Award."
The "Outstanding Paper Award" is given to a paper presented at the research meeting, selected from among all submissions regardless of whether the author is a general researcher or a student, based on the quality of the paper and its presentation. The "UBI Young Researcher Award" is presented to papers submitted by students up to their first year of graduate school, based on a comprehensive evaluation of the quality of both the paper and the presentation.
[Outstanding Paper Award]
"A Proposal of Cat Face Classification Technology for Distinguishing Between Stray and Pet Cats"
Rina Motoyama, Naohiro Isokawa, Tadashi Okoshi, Jin Nakazawa
[UBI Young Researcher Award]
"A Proposal of an Avian Detection Method Using High-Resolution Images"
Ryotaro Hamada, Naohiro Isokawa, Risa Hirano, Tadashi Okoshi, Jin Nakazawa
"A Hierarchical Classification Model for Multi-Class Classification"
Kaho Sata
Comment from Rina Motoyama (3rd-year, Faculty of Policy Management)
I have received the "Outstanding Paper Award" at the 79th Meeting of the IPSJ Special Interest Group on Ubiquitous Computing Systems (SIGUBI). I am deeply honored to receive such a prestigious award.
This research addresses the growing problem of lost cats. Considering the current low rate of microchip implantation, we proposed a method to effectively distinguish between pet and stray cats using facial image classification.
As this was my first time writing a conference paper and I was finding my way, I would like to take this opportunity to express my deepest gratitude to Naohiro Isokawa for his dedicated guidance, as well as to the professors and senior students of the Nakazawa & Okoshi Laboratory, and all the experts who cooperated with our experiments. I will continue to devote myself to my research activities and strive for further achievements.
Comment from Ryotaro Hamada (4th-year, Faculty of Policy Management)
I am very pleased to have received the "Young Researcher Award" at the 79th Meeting of the IPSJ Special Interest Group on Ubiquitous Computing Systems (SIGUBI).
In this research, we proposed a method that can quickly and accurately count the number of birds near water from images taken with high-resolution cameras, using object detection and image classification techniques.
I was able to receive this award thanks to the support and guidance of my mentors, Mr. Isokawa and Ms. Hirano, as well as the professors, friends, and senior students of the Nakazawa & Okoshi Laboratory. I would like to express my sincere gratitude to all of you. I will continue to dedicate myself even more to my research activities.
Comment from Kaho Sata (3rd-year, Faculty of Environment and Information Studies)
I have received the "Young Researcher Award" at the 79th Meeting of the IPSJ Special Interest Group on Ubiquitous Computing Systems (SIGUBI). I am very happy to have received such an award.
This research addresses the issue in deep learning-based image classification where accuracy decreases as the number of classes to be classified increases. We proposed a new method that achieves hierarchical class classification by using multiple deep learning models.
I was able to receive this award thanks to the enthusiastic guidance and support from Taiga Kume, as well as the professors and senior students of the Nakazawa & Okoshi Laboratory. I am deeply grateful. I will continue to devote myself further to my research activities and strive to achieve even greater results.
Source: General Affairs Section, Shonan Fujisawa Campus (SFC) Office