Rchr
J-GLOBAL ID：201901015553196356
Update date: Jan. 16, 2024
Tristan Hascoet
トリスタン ハスコエト | Tristan Hascoet
Affiliation and department：
Research field (1)：
Mathematical informatics
Research keywords (6)：
AI 4 Science
, Deep Learning Computational Efficiency
, Optimization Algorithms
, Hydrology
, Zero-Shot Learning
, Computer Vision
Research theme for competitive and other funds (3)：
- 2021 - 2025 構音障がい者のカスタマイズドコミュニケーション基盤技術の創出
- 2020 - 2023 Scaling up CNN computations for data-intensive scientific applications
- 2019 - 2022 Zero-shot recognition of generic objects
Papers (16)：
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Tristan Hascoet, Victor Pellet, Filipe Aires, Tetsuya Takiguchi. Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision. Remote Sensing. 2023. 16. 1. 170-170
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Christian Massari, Victor Pelle, Yves Tramblay, Wade T. Crow, Gaby J. Gründemann, Tristan Hascoe, Daniele Penna, Sara Modanesi, Luca Brocca, Stefania Camici, et al. On the relation between antecedent basin conditions and runoff coefficient for European floods. Journal of Hydrology. 2023. 625. 130012-130012
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Weihao Zhuang, Tristan Hascoet, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi. Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation. APSIPA Transactions on Signal and Information Processing. 2023. 12. 1
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Weihao Zhuang, Tristan Hascoet, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki. Convolutional Neural Networks Inference Memory Optimization with Receptive Field-Based Input Tiling. APSIPA Transactions on Signal and Information Processing. 2023. 12. 1
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Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi. Reversible designs for extreme memory cost reduction of CNN training. EURASIP J. Image Video Process. 2023. 2023. 1. 1-1
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MISC (1)：
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中嶋, 彩也香, Xuejiao, Deng, Tristan, Hascoet, 高島, 遼一, 滝口, 哲也. Style Transferを用いた電子顕微鏡画像の合成. 第83回全国大会講演論文集. 2021. 2021. 1. 117-118
Lectures and oral presentations (5)：
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On zero-shot recognition of generic objects
(IEEE Conference on Computer Vision and Pattern Recognition 2019)
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Policy entropy for super pixel agglomeration of neurite segmentation
(International Workshop on Frontiers of Computer Vision 2019)
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Zero-shot learning using dictionary definitions
(International Workshop on Frontiers of Computer Vision 2018)
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Investigation of the correlations between CNN visual features and word embeddings
(Second Workshop on Closing the Loop Between Vision and Language, International Conference on Computer Vision 2017)
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Semantic web and zero-shot learning of large scale visual classes
(2017)
Education (2)：
- 2016 - 現在 Kobe University システム情報研究科 博士
- 2009 - 2014 National Institute of Applied Science (INSA Lyon) Telecommunication Master Degree of Engineering
Work history (2)：
- 2019/04 - 現在 Kobe University 経営学研究科 Assistant Professor of Engineering
- 2015/01 - 2016/04 Aldebaran SoftBank Robotics Software Quality Management Software engineer
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