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Kaito Hirasawa
Person information
- affiliation: Hokkaido University, Sapporo, Japan
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2020 – today
- 2022
- [j3]Kaito Hirasawa
, Keisuke Maeda
, Takahiro Ogawa
, Miki Haseyama:
Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets. Sensors 22(7): 2465 (2022) - 2021
- [j2]Kaito Hirasawa
, Keisuke Maeda
, Takahiro Ogawa
, Miki Haseyama
:
Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis. IEEE Access 9: 84971-84981 (2021) - [j1]Kaito Hirasawa
, Keisuke Maeda
, Takahiro Ogawa
, Miki Haseyama:
Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder. Sensors 21(6): 2045 (2021) - [c7]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels. GCCE 2021: 204-205 - [c6]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. ICIP 2021: 2678-2682 - 2020
- [c5]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. GCCE 2020: 636-637 - [c4]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation. ICCE-TW 2020: 1-2 - [c3]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. ICIP 2020: 1236-1240 - [c2]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. ICME Workshops 2020: 1-6
2010 – 2019
- 2019
- [c1]Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa
, Miki Haseyama:
Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. GCCE 2019: 663-664
Coauthor Index
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