NEWS お知らせ

過去のお知らせ

  • Expert comment generation considering sports skill level using a large multimodal model with video and spatial-temporal motion features

    Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

    Sensors

  • AMDIS: Amplitude dissimilarity reduced reference IQA metric for neural radiance field

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

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  • Multistage deep learning for classification of Helicobacter pylori infection status using endoscopic images

    Guang Li, Ren Togo, Katsuhiro Mabe, Shunpei Nishida, Yoshihiro Tomoda, Fumiyuki Shiratani, Masashi Hirota, Takahiro Ogawa, Miki Haseyama

    Journal of Gastroenterology

  • Damage-level classification considering both correlation between image and text data and confidence of attention map

    Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama

    Computer-Aided Civil and Infrastructure Engineering

  • 点検記録作成支援のための生成 AI を用いた所見の自動生成 -データプール抽出を用いた類似画像検索に基づく in-context learning の導入-

    Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

    AI・データサイエンス論文集

  • ブルーカーボンによるCO2吸収量推計へ向けた大規模セマンティックセグメンテーションモデルに基づく藻場領域の自動認識

    李 広, 藤後 廉, 前田 圭介, 酒向 章哲, 山内 功, 早川 哲也, 中前 茂之, 小川 貴弘, 長谷山 美紀

    土木学会論文集

  • ConcVAE: conceptual representation learning

    Ren Togo, Nao Nakagawa, Takahiro Ogawa, Miki Haseyama

    IEEE Transactions on Neural Networks and Learning Systems

  • 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

  • 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

  • Multimodal transformer model using time-series data to classify winter road surface conditions

    Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

    Sensors

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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