Hascoet Tristan

Profile Information

Affiliation: Graduate School of Business Administration, Kobe University

J-GLOBAL ID: 201901015553196356
researchmap Member ID: 7000028992

Research Interests

Research Areas

Informatics / Mathematical informatics / Deep learning application to computer vision

Research History

Apr, 2019 - Present

Assistant Professor of Engineering, 経営学研究科, Kobe University
Jan, 2015 - Apr, 2016

Software engineer, Software Quality Management, Aldebaran SoftBank Robotics

Education

Oct, 2016 - Present

博士, システム情報研究科, Kobe University
Sep, 2009 - Jul, 2014

Master Degree of Engineering, Telecommunication, National Institute of Applied Science (INSA Lyon)

Papers

Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision

Tristan Hascoet, Victor Pellet, Filipe Aires, Tetsuya Takiguchi

Remote Sensing, 16(1) 170-170, Dec 31, 2023 Peer-reviewedLead author
On the relation between antecedent basin conditions and runoff coefficient for European floods

Christian Massari, Victor Pelle, Yves Tramblay, Wade T. Crow, Gaby J. Gründemann, Tristan Hascoe, Daniele Penna, Sara Modanesi, Luca Brocca, Stefania Camici …

Journal of Hydrology, 625 130012-130012, Oct, 2023 Peer-reviewed
Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation

Weihao Zhuang, Tristan Hascoet, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi

APSIPA Transactions on Signal and Information Processing, 12(1), 2023 Peer-reviewed
Convolutional Neural Networks Inference Memory Optimization with Receptive Field-Based Input Tiling

Weihao Zhuang, Tristan Hascoet, Xunquan Chen, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki

APSIPA Transactions on Signal and Information Processing, 12(1), 2023 Peer-reviewed
Reversible designs for extreme memory cost reduction of CNN training.

Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki, Tetsuya Takiguchi

EURASIP J. Image Video Process., 2023(1) 1-1, 2023 Peer-reviewedLead author
FasterRCNN Monitoring of Road Damages: Competition and Deployment.

Tristan Hascoet, Yihao Zhang, Andreas Persch, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki

2020 IEEE International Conference on Big Data (IEEE BigData 2020), 5545-5552, 2020 Peer-reviewedLead author
On zero-shot recognition of generic objects

Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Jun, 2019 Peer-reviewed
ゼロショット学習を用いた一般物体セグメンテーション

TANIDA Keiichi, Tristan Hascoet, TAKIGUCHI Tetsuya, ARIKI Yasuo

情報処理学会第81回全国大会講演論文集, 549-550, Mar, 2019
Affinity graphを用いた神経細胞画像セグメンテーション

KOYAMA Emi, Tristan Hascoet, TAKIGUCHI Tetsuya, ARIKI Yasuo

情報処理学会第81回全国大会講演論文集, 543-544, Mar, 2019
Entropy policy for supervoxel agglomeration of neurite segmentation

Tristan Hascoet, Baptiste Metge, Tetsuya Takiguchi, Yasuo Ariki

International Workshop on Frontiers of Computer Vision, Feb, 2019 Peer-reviewedLead author
Semantic embeddings of generic objects for zero-shot learning

Hascoet Tristan, Takiguchi Tetsuya, Ariki Yasuo

EURASIP Journall on Image and Video Processing, Feb, 2019 Peer-reviewed
Visually grounded word embeddings for zero-shot learning of visual categories

Hascoet Tristan, Yasuo Ariki, Tetsuya Takiguchi

IPSJ SIG-CVIM, 1-4, Mar, 2018
Zero-shot learning using dictionary definitions

Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi

International Workshop on Frontiers of Computer Vision, 4 pages, Feb, 2018 Peer-reviewed
Satellite Image Semantic Segmentation Using Fully Convolutional Network

Atsushi Yoshihara, Tristan Hascoet, Tetsuya Takiguchi, Yasuo Ariki

International Workshop on Frontiers of Computer Vision, 4 pages, Feb, 2018 Peer-reviewed
Semantic Web and Zero-Shot Learning of Large Scale Visual Classes

Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi

First International Workshop on Symbolic-Neural Learning, 1-6, 2017 Peer-reviewed
Caching Support for Skyline Query Processing with Partially Ordered Domains

Yu-Ling Hsueh, Tristan Hascoet

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 26(11) 2649-2661, Nov, 2014 Peer-reviewed

Misc.

Style Transferを用いた電子顕微鏡画像の合成

中嶋, 彩也香, Xuejiao, Deng, Tristan, Hascoet, 高島, 遼一, 滝口, 哲也

第83回全国大会講演論文集, 2021(1) 117-118, Mar 4, 2021

Presentations

On zero-shot recognition of generic objects

Hascoet Tristan, Takiguchi Tetsuya, Ariki Yasuo

IEEE Conference on Computer Vision and Pattern Recognition, Jun, 2019
Policy entropy for super pixel agglomeration of neurite segmentation

Hascoet Tristan, Takiguchi Tetsuya, Ariki Yasuo

International Workshop on Frontiers of Computer Vision, Feb, 2019
Zero-shot learning using dictionary definitions

Hascoet Tristan, Takiguchi Tetsuya, Ariki Yasuo

International Workshop on Frontiers of Computer Vision, Mar, 2018
Investigation of the correlations between CNN visual features and word embeddings

Hascoet Tristan, Takiguchi Tetsuya, Ariki Yasuo

Second Workshop on Closing the Loop Between Vision and Language, International Conference on Computer Vision, Dec, 2017
Semantic web and zero-shot learning of large scale visual classes

Hascoet Tristan, Takiguchi Tetsuya, Ariki Yasuo

Jul 12, 2017

Teaching Experience

Research Projects

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

科学研究費助成事業, 基盤研究(B), 日本学術振興会, Apr, 2021 - Mar, 2025

滝口哲也, HASCOET TRISTAN, 中井靖
Scaling up CNN computations for data-intensive scientific applications

科学研究費助成事業, 若手研究, 日本学術振興会, Apr, 2020 - Mar, 2023

HASCOET TRISTAN
Zero-shot recognition of generic objects

Grants-in-Aid for Scientific Research, Grant-in-Aid for Research Activity Start-up, Japan Society for the Promotion of Science, Aug, 2019 - Mar, 2022

Hascoet Tristan

Profile Information

Research Interests

Research Areas

Research History

Education

Papers

Misc.

Presentations

Teaching Experience

Research Projects

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