OceanEyesの学術業績です。株式会社オーシャンアイズの前身であるJST-CRESTや、関係者の実績も含みます。
[論文] High-resolution Bathymetry by Deep-learning based Point Cloud Upsampling Naoya Irisawa, Masaaki Iiyama IEEE Access, (Early Access), 2024-01 DOI: 10.1109/ACCESS.2023.3349149
[国際会議] Weakly-supervised Keypoint Detector for Fishing Ground Estimation Kazuki Takasan, Masaaki Iiyama IEEE OCEANS 2023, , 2023-09
[国際会議] Fishing Ground Estimation using Deep-learning-based Keypoint Detector Shuma Nakata, Kazuki Takasan, Masaaki Iiyama IEEE OCEANS 2023, pp. 1-5, 2023-06 DOI: 10.1109/OCEANSLimerick52467.2023.10244446
[論文] Deep learning models to predict sea surface temperature in Tohoku region Kalpesh R. Patil, Masaaki Iiyama IEEE Access, Vol. 10, pp. 40410-40418, 2022-04 DOI: 10.1109/ACCESS.2022.3167176
[国際会議] Evaluation of Efficiency of U-Net against Multiple Deep MLPs for Daily SST Prediction Kalpesh R. Patil, Masaaki Iiyama Ocean Science Meeting, , 2022-02
[論文] Effect of Seychelles Dome intensity on nutrient supply to the mixed layer: Insights from a coupled physical-biological model, Takaaki Yokoi, Shin-ichi Ito, Enrique Curchitser, Journal of Marine Systems, Volume 227, 2022, 103689, ISSN 0924-7963, https://doi.org/10.1016/j.jmarsys.2021.103689. [Paper]
[国際会議] Deep Neural Networks to Predict Sub-surface Ocean Temperatures from Satellite-Derived Surface Ocean Parameters Kalpesh R. Patil, Masaaki Iiyama Soft Computing for Problem Solving, pp.423-424, 2021-10 DOI: 10.1007/978-981-16-2712-5_35
[論文] Cloud-Free Sea-Surface-Temperature Image Reconstruction From Anomaly Inpainting Network Nobuyuki Hirahara, Motoharu Sonogashira, Masaaki Iiyama IEEE Transactions on Geoscience and Remote Sensing, Vol.60, pp.1-11, 2021-09 DOI: 10.1109/TGRS.2021.3111649
[論文] Region Proposal and Regression Network for Fishing Spots Detection From Sea Environment An Fu, Kalpesh Ravindra Patil, Masaaki Iiyama IEEE Access, Vol. 9, pp. 68366-68375, 2021-05 DOI: 10.1109/ACCESS.2021.3077514
[国際会議] Sea Surface Temperature Nowcasting with 3-channel Convolutional LSTM Zeyang Xin, Kalpesh Ravindra Patil, Motoharu Sonogashira, Masaaki Iiyama Global Oceans 2020: Singapore – U.S. Gulf Coast, p.1-6, 2020-10 DOI: 10.1109/IEEECONF38699.2020.9389195
[国際会議] Region Proposal and Regression Network for Fishing Spots Detection from Sea Temperature Data An Fu, Kalpesh Ravindra Patil, Masaaki Iiyama Global Oceans 2020: Singapore – U.S. Gulf Coast, p.1-4, 2020-10 DOI: 10.1109/IEEECONF38699.2020.9389050
[論文] Visual Analytics of Causal Relationship Between Fish Catches Data in Adjacent Sea Areas Using Convergent Cross Mapping Chi Zhang, Masaaki Iiyama, Koji Koyamada Journal of Advanced Simulation in Science and Engineering, Vol.7, No.2, p.226-241, 2020-07 DOI: 10.15748/jasse.7.226
[国際会議] Denoising and Inpainting of Sea Surface Temperature Image with Adversarial Physical Model Loss, Nobuyuki Hirahara, Motoharu Sonogashira, Hidekazu Kasahara and Masaaki Iiyama, Asian Conference on Pattern Recognition (ACPR2019),Auckland, NZ, 2019-11.
[国際会議] Fishing Spot Detection Using Sea Water Temperature Pattern by Nonlinear Clustering, Takumi Shimura, Motoharu Sonogashira, Hidekazu Kasahara, Masaaki Iiyama, Oceans 2019 Marseille, 2019-06.
[論文] 海水温パターンのクラスタリングによる良漁場推定 飯山 将晃, 趙 詣,橋本 敦史, 笠原 秀一, 美濃 導彦 電子情報通信学会論文誌,Vol.J101-D, No.8, pp.1070-1078,_To be appeared_. DOI: 10.14923/transinfj.2017IUP0006
[国際会議] Restoration of Sea Surface Temperature Satellite Images Using a Partially Occluded Training Set, Satoki Shibata, Masaaki Iiyama, Atsushi Hashimoto, Michihiko Minoh International Conference on Pattern Recognition (ICPR2018),,2018-08. [ResearchGate]
[研究発表] サステイナブル漁業に向けたデータ指向型リアルタイム解析基盤の開発 飯山将晃 人工知能学会全国大会,KS-5 企画セッション「人工知能によるイノベーション創発」,2018-06.
[国際会議] Fishing Spot Estimation by Sea Temperature Pattern Learning Masaaki Iiyama, Kei Zhao, Atsushi Hashimoto, Hidekazu Kasahara, Michihiko Minoh Oceans 2018,,2018-05. [Slideshare]
[国際会議] Restoration of Sea Surface Temperature Satellite Images Using a Partially Occluded Training Set Satoki Shibata, Masaaki Iiyama, Atsushi Hashimoto, Michihiko Minoh International Conference on Pattern Recognition (ICPR2018),, 2018-08 DOI: 10.1109/ICPR.2018.8546261
[講演] 海洋パターン解析が実現するサステイナブルオーシャンとそのビジネス展開~AI漁業の取り組みから~ 飯山 将晃, 笠原 秀一 gコンテンツ流通推進協議会g-life委員会,,2018-03.
[講演] AI meets Fishery -Pattern Recognition Approach for Fishery Applications- Masaaki Iiyama Invited Talk, University of Science and Technology Beijing, China,2017/11/13,2017-11.
[研究会] 画像認識的アプローチによるアカイカ漁場推定手法の開発 飯山 将晃, 趙 詣, 橋本 敦史, 笠原 秀一, 五十嵐 弘道, 齊藤 誠一, 美濃 導彦 水産海洋学会研究発表大会,,2017-11.
[研究会] 事業モデル仮説に基づいた水産業における産学連携の試み:『サステイナブル漁業に向けたデータ指向型リアルタイム解析基盤の開発』での取組事例 笠原 秀一,飯山 将晃,美濃 導彦 研究・イノベーション学会年次学術大会,2B03,2017-10.
[研究会] パターン認識は良い漁場を見つけることができるか? – 海水温パターンのクラスタリングに基づく良漁場推定- 飯山 将晃, 趙 詣, 橋本 敦史, 笠原 秀一, 美濃 導彦 第20回画像の認識・理解シンポジウム, MIRU2017,OS4-2,2017-08.
[研究会] 学習型インペインティングとオプティカルフローを用いた海水温画像の欠損修復 柴田 哲希, 飯山 将晃, 橋本 敦史, 笠原 秀一, 美濃 導彦 第20回画像の認識・理解シンポジウム, MIRU2017,,2017-08.
[国際会議] Restoration of Sea surface temperature Images by Learning-based and Optical-flow-based Inpainting Satoki Shibata, Masaaki Iiyama, Atsushi Hashimoto, Michihiko Minoh IEEE International Conference on Multimedia and Expo (ICME) 2017,pp. 193-198,2017-07. DOI: 10.1109/ICME.2017.8019401 [IEEE]
[国際会議] Fishing Spot Estimation by Sea Temperature Pattern Learning
Masaaki Iiyama, Kei Zhao, Atsushi Hashimoto, Hidekazu Kasahara, Michihiko Minoh Oceans 2018, pp.1-4, 2018-05 DOI: 10.1109/OCEANSKOBE.2018.8559299