Session Details
[D-12A]パターン認識・メディア理解A
Wed. Mar 6, 2024 9:00 AM - 12:00 PM JST
Wed. Mar 6, 2024 12:00 AM - 3:00 AM UTC
Wed. Mar 6, 2024 12:00 AM - 3:00 AM UTC
School of Integrated Arts and Sciences K209(HIROSHIMA UNIVERSITY Higashi-Hiroshima campus)
Chair:YOTA YAMAMOTO, GO IRIE
[D-12A-11]Hostile Attacks on Image Classification and Verification of Impact
○Mikumo Yoshita1, Ryoutaro Komura1 (1. National Institute of Technology, Ishikawa College.)
[D-12A-12]Development of automatic traffic volume measurement system
○Shiho Shinzo1, Kentarou Moto2, Takuma Ikemoto2, Kouji Tatsuhashi2, Ryoutaro Komura1 (1. National Institute of Technology, Ishikawa College, 2. Kokudo Kaihatsu Center.Inc)
[D-12A-13]Fractography using AI image analysis
○Kazuhiro Sugiyama1, Miyuki Uchida1, Yusuke Hirose1, Natsumi Nakatori2, Shoichi Dobashi2, Koichi Watanabe2 (1. Toshiba Corporation, 2. Toshiba Tec Corporation)
[D-12A-14]Study of automatic spiddos detection in temperature gradient gel electrophoresis images
○Kouki Tsukagoshi1, Masato Suzuki1, Daisuke Kitakoshi1, Makoto Nishimura1 (1. NITTC)
[D-12A-15]Music Retrieval System by Inputting Arbitrary Words Using Impression Space Mapping
○Shunei Tanaka1, Kazuyuki Matsumoto1, Manabu Sasayama2, Minoru Yoshida1 (1. Tokushima Univ., 2. NIT, Kagawa)
[D-12A-16]Indoor Scene Design to User-Selected Mood Based on Genetic Algorithm
○Reon Takano1, Yuma Mabuchi1, Yuko Ozasa1 (1. Tokyo Denki Univ.)
Break time
[D-12A-17]Automatic creation of highlight videos for basketball games
○Fumiya Takahashi1, Sayaka Akioka1 (1. Meiji Univ.)
[D-12A-18]Matching Method Using Genetic Algorithm for Detecting Basketball Rotation
○Hibiki Yoshimoto1, Mizuki Fukasawa1, Takuya Akashi2 (1. Iwate University, Graduate School, 2. Iwate University)
[D-12A-19]Anomaly Detection in Tennis Serve Motions using LSTM-RNN
○Ryuya Okabe1, Kazuaki Nakamura1 (1. Tokyo Univ. of Science)
[D-12A-20]Improving Implicit Bias Contained in Unlabeled Dataset Using GAN
○Saya Iwaki1, Kazuaki Nakamura1 (1. Tokyo Univ. of Science)
[D-12A-21]Improving Counterfactual Image Generation Using Perceptual Loss
○Keigo Matsumura1, Hisashi Handa1, Yukihiro Hamasuna1, Miho Osaki2, Kimiaki Shirahama2 (1. Kindai Univ., 2. Doshisha Univ.)