過去のお知らせ
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ConcVAE: conceptual representation learning
Ren Togo, Nao Nakagawa, Takahiro Ogawa, Miki Haseyama
IEEE Transactions on Neural Networks and Learning Systems
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Multimodal shot prediction based on spatial-temporal interaction between players in soccer videos
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Applied Sciences
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Snow- or ice-covered road detection in winter road surface conditions using deep neural networks
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Computer-Aided Civil and Infrastructure Engineering
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Multimodal transformer model using time-series data to classify winter road surface conditions
Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
Sensors
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Trial analysis of brain activity information for the presymptomatic disease detection of rheumatoid arthritis
Keisuke Maeda, Takahiro Ogawa, Tasuku Kayama, Takuya Sasaki, Kazuki Tainaka, Masaaki Murakami, Miki Haseyama
Bioengineering
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Generalizing deep learning-based distress segmentation models for subway tunnel images by test-time training
Zongyao Li, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
Intelligence, Informatics and Infrastructure
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工事現場の定点カメラを用いた物体検出および姿勢推定に基づくZero-shot高リスク状況検出
大羽賀 駿也, 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
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大規模言語モデルを用いた通報音声からの事象発生地点予測
吉田 将規, 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
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Spatial-temporal attentionを導入した再帰型ニューラルネットワークに基づく重機との接触事故リスクの推定
五箇 亮太, 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
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地下鉄トンネル点検における技術者のモーションデータを用いた熟練度分類 – 説明可能なGraph Convolutional Networkの導入 –
清野竜生, 斉藤直輝, 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
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Algal bed region segmentation based on a ViT adapter using aerial images for estimating CO2 absorption capacity
Guang Li, Ren Togo, Keisuke Maeda, Akinori Sako, Isao Yamauchi, Tetsuya Hayakawa, Shigeyuki Nakamae, Takahiro Ogawa, Miki Haseyama
Remote Sensing
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A novel frame-selection metric for video inpainting to enhance urban feature extraction
Yuhu Feng, Jiahuan Zhang, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors
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Expert–novice level classification using graph convolutional network introducing confidence-aware node-level attention mechanism
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
Sensors
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Analysis of continual learning techniques for image generative models with learned class information management
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors
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Automatic findings generation for distress images using in-context few-shot learning of visual language model based on image similarity and text diversity
Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Journal of Robotics and Mechatronics
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Parameter-efficient tuning of cross-modal retrieval for a specific database via trainable textual and visual prompts
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
International Journal of Multimedia Information Retrieval
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Individual persistence adaptation for user-centric evaluation of user satisfaction in recommender systems
Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access
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Text-guided image editing based on post score for gaining attention on social media
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors
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Importance-aware adaptive dataset distillation
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
Neural Networks
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Zero-shot visual sentiment prediction via cross-domain knowledge distillation
Yuya Moroto, Yingrui Ye, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Open Journal of Signal Processing