June 26, 2019
SFC students from Professor Jin Nakazawa's Laboratory at the Faculty of Environment and Information Studies were awarded by the Japanese Society for Artificial Intelligence (JSAI).
[Annual Conference Award]
Yusuke Yamada (4th-year student, Faculty of Environment and Information Studies) and Shin Kono (enrolled in the Ph.D. program at the Graduate School of Media and Governance at the time of the award)
"Person Counting from High-Resolution Images Using Deep Learning"
[Student Incentive Award]
- Yui Kakino (4th-year student, Faculty of Environment and Information Studies)
"Stroke Detection and Scoring Method for Elementary School Students to Master Basic Calligraphy Posture"
- Kazuhiro Mikami (1st-year master's student, Graduate School of Media and Governance)
"Measuring the Number of Garbage Bags from Garbage Collection Videos Using Deep Learning"
The Japanese Society for Artificial Intelligence (JSAI) aims to promote the advancement of research and dissemination of knowledge related to artificial intelligence, and to contribute to the development of academia, technology, industry, and society. These awards are judged with an emphasis on novelty or utility, taking into account contributions to the science or technology of the Japanese Society for Artificial Intelligence.
Comment from Yusuke Yamada
I am truly honored to receive the Annual Conference Award at the Annual Conference of the Japanese Society for Artificial Intelligence. This research proposes a new algorithm that uses machine learning to count people from high-resolution images as a new approach to realizing a smart city, and verifies its effectiveness. At the conference's interactive session, I was able to engage in discussions with many experts, making it a very meaningful experience. I would like to express my gratitude to everyone in my laboratory for their daily guidance, and to the Big Bang, the origin of our very existence, for this award.
Comment from Yui Kakino
I am delighted to have received the Student Incentive Award at the Annual Conference of the Japanese Society for Artificial Intelligence. I undertook this research to incorporate artificial intelligence into the field of calligraphy and to verify whether machines can perform artistic evaluation. I believe that applying artificial intelligence to various fields can lead to new discoveries and perspectives. I hope to continue advancing the automatic evaluation of calligraphy works, as well as tackling research in new fields to contribute to society. I would like to express my heartfelt gratitude to everyone in my laboratory for their guidance.
Comment from Kazuhiro Mikami
I am very happy to have received the Student Incentive Award. In recent years, while Japan's population has been decreasing, the cost of waste disposal has been increasing. My research aims to solve this problem by acquiring and utilizing garbage emission data to improve operational efficiency and reduce waste. The emission data is acquired by applying deep learning to videos filmed by a camera at the rear of a garbage truck. I believe this award recognizes the application of deep learning to solve a social issue and the demonstration of its effectiveness. I will continue to promote my research to solve this problem.
Published by: General Affairs Section, Shonan Fujisawa Campus (SFC) Office