過去のお知らせ
IEEE ICCE-TW 2023でメディアダイナミクス研究室より７件の発表を行い、1件が受賞しました！
コンシューマエレクトロニクスに関する国際会議IEEE ICCE-TW 2023 (2023 IEEE International Conference on Consumer Electronics – Taiwan)に当研究室より７件の発表を行いました。
また、[5]の発表がBest Paper Award (Honorable Mention)を受賞しました！おめでとうございます！
[1] Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Binaural Audio Generation with Data Augmentation from 360° Videos”
[2] Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama, “Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information”
[3] Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama, “Parameter-efficient Tuning of a Pre-trained Model via Prompt Learning in Cross-modal Retrieval”
[4] He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama, “A Medical Domain Visual Question Generation Model via Large Language Model”
[5] Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Shoot Event Prediction in Soccer Considering Expected Goals Based on Players’ Positions”
[6] Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features”
[7] Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama, “Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA”
