過去のお知らせ
世界最高峰の信号処理に関する国際会議 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021: https://2021.ieeeicassp.org/)にメディアダイナミクス研究室より投稿した以下の7件の論文が採録されました！
ICASSPは、IEEE Signal Processing Societyのフラグシップカンファレンスであり、Google ScholarのSignal Processingのカテゴリで1位にランクする国際会議です。
(1) Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama：”Classification of Expert-novice Level Using Eye Tracking and Motion Data via Conditional Multimodal Variational Autoencoder”
(2) Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis”
(3) Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Semantic-aware Unpaired Image-to-image Translation for Urban Scene Images”
(4) Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Estimation of Visual Features of Viewed Image from Individual and Shared Brain Information Based on fMRI Data Using Probabilistic Generative Model”
(5) Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama: “Multi-modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation”
(6) Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Feature Integration via Semi-supervised Ordinally Multi-modal Gaussian Process Latent Variable Model”
(7) Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama: “Human-centered Favorite Music Classification Using EEG-based Individual Music Preference via Deep Time-series CCA”