Ayano Kaneda
Ayano Kaneda
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I want to do research
Contact
mail : kintakosu0721[at]gmail.com.
CV : cv_link
👼 : https://scholar.google.com/citations?user=YCs12mQAAAAJ&hl=ja
Research Interest
My research interests are in numerical optimization, differential geometry, physics-based simulation in computer graphics and applying machine learning to solve their system, including various simulations of deformable solids, fluids, and thermomechanical effects and, non-linear/linear optimization for sparse matrix. I am looking for jobs in similar areas. Please contact me.
Projects
Fiber-Dependent Approach for Fast Dynamic Character Animation.
Fiber-Dependent Approach for Fast Dynamic Character Animation.
Ayano Kaneda, Tsukasa Fukusato, Yoshihiro Fukuhara, Takayuki Nakatsuka, and Shigeo Morishima.
In Proceedings of the 30th Conference on Computer Animation and Social Agents (CASA), oral, pp.1-10, South Korea, Nov. 2017
paper: Casa_2017_paper / video
Directional shape matching dynamics to simulate primary & secondary deformation
Publications
Peer-Reviewed Journal/Conference Papers
Kai Weixian Lan, Elias Gueidon, Ayano Kaneda, Julian Panetta, Joseph Teran, "A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions " International Conference on Machine Learning 2024. [paper]
Ayano Kaneda, Osman Akar, Jingyn Chen, Victoria Kala, David Hyde, and Joseph Teran, "A Deep Conjugate Direction Method for Iteratively Solving Linear Systems." International Conference on Machine Learning 2023. [paper ]
Ayano Kaneda, Tsukasa Fukusato, Yoshihiro Fukuhara, Takayuki Nakatsuka, and Shigeo Morishima. "Fiber-Dependent Approach for Fast Dynamic Character Animation." AIn Proceedings of the 30th Conference on Computer Animation and Social Agents (CASA) }, pp.1-10, South Korea, Nov. 2017. [paper ]
Invited talk/lecture
Ayano Kaneda "Deep Learning Approach to Approximate the Solution for Poisson Matrix." International Conference on Scientific Computing and Machine Learning 2024 (ICML 2024). Kyoto, Japan, March 19 – 23, 2024.
(Domestic) Ayano Kaneda " A Deep Conjugate Direction Method for Iteratively Solving Linear Systems." Visual Computing 2023. Tokyo, Japan, Septempter 17-20.
Workshop (Reviewed)
Ayano Kaneda, Osman Akar, David Hyde, and Joseph Teran, "A Deep Conjugate Direction Method for Iteratively Solving Linear Systems. International Congress on Industrial and Applied Mathematics 2023, August 20-25, Tokyo, 2023.
(Domestic) Ayano Kaneda, Tsukasa Fukusato, Yoshihiro Fukuhara, Takayuki Nakatsuka, and Shigeo Morishima. "Fast generating secondary motion system under considering local stiffness and anisotropy.Computer Entertainment Developers Conference 2017 (CEDEC2017), Yokohama, 2017. talk [cite ]
Award
(Domestic) 金田綾乃, Jiazheng Chai, 加藤卓哉 : "MASt3R 点群と信頼度を用いた非剛体ICPの有効性検証" (MIRU2025), IS3-012, Aug. 2024.（MIRUインタラクティブセッション賞）
(Domestic) 金田綾乃, 櫻井快勢，武富貴史:“多視点動画からの一貫した三次元顔メッシュ生成手法の検証と性能改善の検討”,画像の認識・理解シンポジウム (MIRU2024), IS3-026, Aug. 2024.（MIRUインタラクティブセッション賞）
Research Support
Jan 2020 – Aug 2020 : Funding Agency: SGU
Top Global University Project: Waseda Goes Global -A Plan to Build a Worldwide Academic Network
[http://www.sgu-ictrobotics.sci.waseda.ac.jp/en/activities/student/]
Aug 2019 – Dec 2019 : Ministry of education , Japan
Tobitate ryu-gaku japan project
[https://tobitate.mext.go.jp/univ/program/tech/]
Jan 2018 – Mar 2018 : Funding Agency: SGU
Top Global University Project: Waseda Goes Global -A Plan to Build a Worldwide Academic Network
[http://www.sgu-ictrobotics.sci.waseda.ac.jp/en/activities/student/]
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