The List of Achievements
Books
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Journal Paper
- Feature integration through semi-supervised multimodal Gaussian process latent variable model with pseudo-labels for interest level estimation
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Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access
- Deep reinforcement learning-based music recommendation with knowledge graph using acoustic features
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
ITE Transactions on Media Technology and Applications
- Reliable estimation of deterioration levels via late fusion using multi-view distress images for practical inspection
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Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama
Journal of Imaging
- Detection of important scenes in baseball videos via bidirectional time lag aware deep multiset canonical correlation analysis
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access
- Domain adaptive cross-modal image retrieval via modality and domain translations
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Science
- Text-guided style transfer-based image manipulation using multimodal generative models
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Ren Togo, Megumi Kotera, Takahiro Ogawa, Miki Haseyama
IEEE Access
- Distress image retrieval for infrastructure maintenance via self-trained deep metric learning using experts’ knowledge
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access
- Disentangled representation learning in real-world image datasets via image segmentation prior
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Access
International Conference
- Few-shot personalized saliency prediction using person similarity based on collaborative multi-output Gaussian process regression
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Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Classification of expert-novice level using eye tracking and motion data via conditional multimodal variational autoencoder
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Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)
- Analysis of social trends related to COVID-19 pandemic utilizing social media data
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Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Multi-class similar scene retrieval in soccer videos: a scene confusion reduction method based on combination of long and short frame sequences
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Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Text-guided image manipulation for desired region using referring image segmentation
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Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Detection of off-screen sound based on loss function of self-supervised audio-visual spatialization
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Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Degradation level estimation of road structures via attention branch network with text data
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021)
- IR Questioner: QA-based interactive retrieval system
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
ACM International Conference on Multimedia Retrieval (ICMR 2021)
- Deep metric network via heterogeneous semantics for image sentiment analysis
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Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Multi-modal label dequantized gaussian process latent variable model for ordinal label estimation
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Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)
- Sports action detection based on self-supervised feature learning and object detection
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Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Multi-Label image recognition based on multi-modal graph convolutional networks using captioning features
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Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Defense against image captioning attacks via a robust and stable recurrent neural network
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Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Correlation-aware attention branch network using multi-modal data for deterioration level estimation of infrastructures
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Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Interpretable representation learning on natural image datasets via reconstruction in visual-semantic embedding space
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Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Action classification from egocentric videos using reinforcement learning-based pose estimation
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Shunya Ohaga, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Movie rating estimation based on weakly supervised multi-modal latent variable model
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Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Interactive re-ranking for cross-modal retrieval based on object-wise question answering
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
ACM International Conference on Multimedia in Asia (ACM MM Asia 2020)
- Estimating imagined images from brain activities via visual question answering
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Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Triplet self-supervised learning for gastritis detection with scarce annotations
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Semantic-aware unpaired image-to-image translation for urban scene images
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Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)
- User background information-aware music recommendation with reinforcement learning-based knowledge graph exploration
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021)
- Listener recommendation for artist based on knowledge graph and reinforcement learning
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Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- A trial of fine-grained classification of expert-novice level using bio-signals while inspecting subway tunnels
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Visual sentiment prediction using few-shot learning via distribution relations of visual features
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Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Cross-view self-supervised learning via momentum statistics in batch normalization
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Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021)
- Graph analysis-based recommendation via entity embeddings using wikipedia
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Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
- Time-lag aware multi-modal variational autoencoder using baseball videos and tweets for prediction of important scenes
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Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Database-adaptive re-ranking for enhancing cross-modal image retrieval
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Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
ACM International Conference on Multimedia (ACM MM 2021)
- Interest level estimation via multi-modal Gaussian process latent variable factorization
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Kyohei Kamikawa, Maeda Keisuke, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Cross-domain recommendation method based on multi-layer graph analysis with visual information
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Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Segmentation-aware text-guided image manipulation
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Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Image Processing (ICIP 2021)
- Human-centered favorite music classification using EEG-based individual music preference deep time-series CCA
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Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)
- Estimation of visual features of viewed image from individual and shared brain information based on fMRI data using probabilistic generative model
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Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)
- Cross-domain semi-supervised deep metric learning for image sentiment analysis
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Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)
- Feature integration via semi-supervised ordinally multi-modal Gaussian process latent variable model
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Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021)
Technical Report
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Other Domestic Conference
- テキスト入力型画像操作における操作領域に着目した精度評価に関する検討
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渡邉 優宇人, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会
- グラフ畳み込みネットワークに基づくアニメイラストのマルチラベル画像認識に関する検討
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蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会
- Shilling attackの状況下におけるグラフ解析に基づく推薦システムの脆弱性の検証
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小野寺 望, 前田 圭介, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会
- Few-shot learningを用いた感情ラベル推定における複数のデータセット利用に関する初期検討
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叶 穎睿, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会
- 自己教師あり学習を導入した潜在変数モデルによる低次元特徴の抽出に関する検討
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渡部 航史, 前田 圭介, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会
- ［招待講演］マルチメディアAI技術に基づく異分野融合研究と実社会応用
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映像情報メディア学会技術報告, vol.45, no.13, pp.73-80
小川 貴弘, 長谷山 美紀 - Audio-visual立体化モデルを用いた画面外音声検出に関する検討ー自己教師あり学習手法に基づくAudio-visual特徴表現の導入ー
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吉田 将規, 藤後 廉, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会
- 画像特徴の表現能力が世界モデルのパフォーマンスに与える影響の検証
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大羽賀 駿也, 藤後 廉, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会
- メタデータを考慮した楽曲グラフ探索に基づく強化学習を用いた楽曲プレイリスト生成に関する検討
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櫻井 慶悟, 藤後 廉, 小川 貴弘, 長谷山 美紀
令和3年度 電気・情報関係学会北海道支部連合大会