ACHIEVEMENTS 研究業績

著書、論文、講演発表一覧

著書

表示する研究業績がありません。

論文(学会誌)

テキストおよび画像情報に基づくFocal Loss を 導入した深層学習による冬期路面状態の分類

諸戸 祐哉, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

AI・データサイエンス論文集

異種特徴間の相関およびAttention Mapの確信度を考慮可能な変状画像の劣化レベル分類

小川 直輝, 前田 圭介, 小川 貴弘, 長谷山 美紀

AI・データサイエンス論文集

インフラ施設の変状の評価を支援する効率的な映像提示に向けた技術者の点検動作分類

上川 恭平, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

AI・データサイエンス論文集

地下鉄トンネル点検時の一人称視点映像を用いたVision Transformerに基づく変状検出

櫻井 慶悟, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

AI・データサイエンス論文集

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing

Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

Computer Methods and Programs in Biomedicine

Brain decoding of multiple subjects for estimating visual information based on a probabilistic generative model

Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Sensors

Similar interior coordination image retrieval with multi-view features

Ren Togo, Yuki Honma, Maiku Abe, Takahiro Ogawa, Miki Haseyama

International Journal of Multimedia Information Retrieval

Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation

Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

Pattern Recognition

Regularization meets enhanced multi-stage fusion features: making CNN more robust against white-box adversarial attacks

Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Sensors

Controllable music playlist generation based on knowledge graph and reinforcement learning

Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

Sensors

Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum

Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

Multimedia Tools and Applications

Chain centre loss: a psychology inspired loss function for image sentiment analysis

Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Neurocomputing

論文(国際会議)

Union-set multi-source model adaptation for semantic segmentation

Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 European Conference on Computer Vision (ECCV 2022)

Free-viewpoint sports video generation based on dynamic NeRF considering time series

Masato Kawai, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Shoot event prediction from soccer videos by considering players’ spatio-temporal relations

Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

A multimodal interpretable visual question answering model introducing image caption processor

He Zhu, Ren Togo, Takahiro Ogawa , Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Cross-modal image retrieval considering semantic relationships with object information

Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Refinement of gaze-based image caption for image retrieval

Yuhu Feng , Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Content-based image retrieval using effective synthesized images from different camera views via pixelNeRF

Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

GCN-based collaborative filtering considering personality bias

Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Prediction of amyloid-β positivity using QSM images based on bootstrap your own latent

Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Analysis of relationships between visual cognitive contents and response of each brain region via viisual question answering

Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Cross-platform recommendation considering common users’ preferences based on preference propagation graphnet

Kazuki Yamamoto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Trend prediction of students’ mock examination results using matrix completion

Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022)

Gaussian distributed graph constrained multi-modal Gaussian process latent variable model for ordinal labeled data

Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Image Processing (ICIP 2022)

Few-shot personalized saliency prediction with similarity of gaze tendency using object-based structural information

Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Image Processing (ICIP 2022)

Improving model adaptation for semantic segmentation by learning model-invariant features with multiple source-domain models

Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Image Processing (ICIP 2022)

Visual sentiment prediction using cross-way few-shot learning based on knowledge distillation

Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Image Processing (ICIP 2022)

GCN-based multi-modal multi-label attribute classification in anime illustration using domain-specific semantic features

Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Image Processing (ICIP 2022)

Assessment of image manipulation using natural language description: quantification of manipulation direction

Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Image Processing (ICIP 2022)

Human-centric image retrieval with gaze-based image captioning

Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Image Processing (ICIP 2022)

Summarizing data structures with Gaussian process and robust neighborhood preservation

Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2022)

Transformer based multimodal scene recognition in soccer videos

Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE ICME Workshop of Artificial Intelligence in Sports (AI-Sports 2022)

Interest level estimation using behavior information through multi-view feature integration considering partial and ordered labels

Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

The 37th International Technical Conference on Circuits, Systems, Computers, and Communications (ITC-CSCC)

Action classification based on LSTM using first and third person videos of engineers inspecting bridges

Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2022)

Scene retrieval in soccer videos by spatial-temporal attention with video vision transformer

Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2022)

Divergence-guided feature alignment for cross-domain object detection

Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

Human emotion recognition using multi-modal biological signals based on time lag-considered correlation maximization

Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

Self-knowledge distillation based self-supervised learning for COVID-19 detection from chest X-ray images

Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

TriBYOL: Triplet BYOL for self-supervised representation learning

Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

Variational Bayesian graph convolutional network for robust collaborative filtering

Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

Distributed label dequantized Gaussian process latent variable model for multi-view data integration

Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

Generative adversarial network including referring image segmentation for text-guided image manipulation

Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)

論文(技術報告)

Union-set model adaptation for semantic segmentation using multiple source domains with subset label spaces

Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

第25回 画像の認識・理解シンポジウム (MIRU2022)

Few-shot personalized saliency prediction via person similarity using tensor-based regression

Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

第25回 画像の認識・理解シンポジウム (MIRU2022)

Database-adaptive transfer learning for question answering-based re-ranking in cross-modal retrieval

Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama

第25回 画像の認識・理解シンポジウム (MIRU2022)

COVID-19 detection based on masked image modeling using vision transformer

Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

第25回 画像の認識・理解シンポジウム (MIRU2022)

自然言語における恣意性を用いた潜在変数モデルに基づく概念表現学習

中川 真, 藤後 廉, 小川 貴弘, 長谷山 美紀

第25回 画像の認識・理解シンポジウム (MIRU2022)

講演発表(学会)

医療データを対象としたデータセット蒸留に関する検討

李 広, 藤後 廉, 小川 貴弘, 長谷山 美紀

第1回 北海道大学医療AIシンポジウム

MRIによる定量的磁化率マッピングとAIを用いたアミロイドβ沈着予測

西岡 典子, 平田 健司, 國枝 翼, 藤後 廉, 前田 圭介, 小川 貴弘, 清水 幸衣, 渡邊 史郎, 長谷山 美紀, 工藤 輿亮

第1回 北海道大学医療AIシンポジウム

フーリエ振幅成分を考慮したNeural Radiance Fields の ノンリファレンス評価指標に関する検討

河合 雅斗, 柳 凜太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀

令和4年度 電気・情報関係学会北海道支部連合大会

サッカー競技のスカウティング映像における選手間の時空間的関係を考慮した不確実性に基づくシュートイベント予測に関する検討

五箇 亮太, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀

令和4年度 電気・情報関係学会北海道支部連合大会

pixelNeRF による生成画像を用いた視点の変化に頑健な画像検索手法に関する検討

江良 勇輝, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀

令和4年度 電気・情報関係学会北海道支部連合大会

協調フィルタリングにおける潜在因子モデルの埋め込み表現と人気バイアスの関係の検討

岡村 洋希, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

令和4年度 電気・情報関係学会北海道支部連合大会

眼底画像を用いた教師なしドメイン適応に基づく糖尿病性網膜症の重症度の推定に関する検討

國枝 翼, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀

令和4年度 電気・情報関係学会北海道支部連合大会

画像注視時の脳活動データを用いた VQA モデルに基づく認知内容推定に関する検討 ― fMRI デコーダに用いる回帰モデルによる推定精度に関する検証 ―

七田 亮, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀

令和4年度 電気・情報関係学会北海道支部連合大会

ドメイン共有ネットワークに基づく嗜好のドメイン依存性に頑健な推薦システムに関する検討

山本 一輝, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀

令和4年度 電気・情報関係学会北海道支部連合大会