Kaito Hirasawa

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 10

Top Topics

Canonical Correlation Analysis

Visual Features

Event Recognition

Top Venues

Publications

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) (2022)
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) (2021)
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)
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)
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 (2021)
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. GCCE (2020)
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)
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. ICME Workshops (2020)
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)
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. GCCE (2019)