ACHIEVEMENTS 研究業績

著書、論文、講演発表一覧

過去の業績（1986年度ー2002年度）

著書

表示する研究業績がありません。

論文（学会誌）

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

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

論文（国際会議）

Generalizing human motion style transfer method based on metadata-independent learning

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

SIGGRAPH Asia 2024 Posters

An evaluation metric for single image-to-3D models based on object detection perspective

Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

SIGGRAPH Asia 2024 Technical Communications

MMT-BERT: Chord-aware symbolic music generation based on multitrack music transformer and MusicBERT

Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

The 25th International Society for Music Information Retrieval Conference (ISMIR2024)

Personalized visual emotion classification via in-context learning in multimodal LLM

Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama