Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICME Workshops, 2020)

A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2021)

Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)