Publications


Preprints

Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, and Hiroshi Kera
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability,
https://arxiv.org/abs/2109.05919

Kazuma Fujii, Hiroshi Kera, and Kazuhiko Kawamoto
Adversarially Trained Object Detector for Unsupervised Domain Adaptation,
https://arxiv.org/abs/2109.05751

Nariki Tanaka, Hiroshi Kera, and Kazuhiko Kawamoto
Adversarial Bone Length Attack on Action Recognition,
https://arxiv.org/abs/2109.05830

Hiroshi Kera
Border Basis Computation with Gradient-Weighted Norm,
https://arxiv.org/abs/2101.00401

Hiroshi Kera and Yoshihiko Hasegawa
Monomial-agnostic computation of vanishing ideals,
https://arxiv.org/abs/2101.00243
(Code: https://github.com/HiroshiKERA/monomial-agnostic-vanishing-ideal)

Soichiro Kumano, Hiroshi Kera, and Toshihiko Yamasaki
Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images,
https://arxiv.org/abs/2012.03843


Journal Papers

Hiroshi Kera and Yoshihiko Hasegawa
Spurious Vanishing Problem in Approximate Vanishing Ideal,
IEEE Access vol 7, pp.178961–178976, 2019 [IF2018 = 4.64]

Hiroshi Kera and Yoshihiko Hasegawa,
Noise-Tolerant Algebraic Method for Reconstruction of Nonlinear Dynamical Systems,
Nonlinear Dynamics, vol. 85, pp.675-692, 2016 [IF2015 = 3.42]


Conference Papers

International
Hiroshi Kera and Yoshihiko Hasegawa.
Gradient Boosts the Approximate Vanishing Ideal,
In Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2020), pp.4428–4435, Feb. 2020 (acceptance rate < 21%) (arXiv: https://arxiv.org/abs/1911.04174)

Hiroshi Kera and Yoshihiko Hasegawa.
Approximate Vanishing Ideal via Data Knotting,
In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 3399–3406, Feb. 2018 (acceptance rate < 25%) (arXiv: https://arxiv.org/abs/1801.09367)

Yifei Huang, Minjie Cai, Hiroshi Kera, Ryo Yonetani, Keita Higuchi, and Yoichi Sato, Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos,
International Workshop on Egocentric Perception, Interaction, and Computing (EPIC 2017) in conjunction with ICCV 2017, pp. 2313–2321, Oct. 2017.

Hiroshi Kera, Ryo Yonetani, Keita Higuchi, and Yoichi Sato
Discovering Objects of Joint Attention via First-Person Sensing,
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops on Egocentric Vision, pp.7-15, Jul. 2016

Hiroshi Kera and Hitoshi Iba
Vanishing Ideal Genetic Programming,
In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp.5018-5025, Jul. 2016 (Oral presentation)

Domestic

芳賀壮,計良宥志,川本一彦
変分オートエンコーダを用いた動画像の解きほぐし
第24回画像の認識・理解シンポジウム (MIRU), Jul. 27-30, 2021

木内拓実,計良宥志,川本一彦
ドメイン適応を用いた一人称行動認識
第24回画像の認識・理解シンポジウム (MIRU), Jul. 27-30, 2021

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Sparse Fooling Images: Fooling Neural Networks through Unrecognizable Images
第24回画像の認識・理解シンポジウム (MIRU), Jul. 27-30, 2021(ショートオーラル)

熊野創一郎,計良宥志,山崎俊彦
Sparse Fooling Images: 認識誤りを誘発するピクセル画像
2021年電子情報通信学会総合大会, D-12-12, 情報・システム講演論文集2 , p. 53, online, Mar.9-12, 2021.

計良宥志,長谷川禎彦
Approximate Vanishing Ideal via Data Knotting
17回情報科学技術フォーラム (FIT2018), Sep. 2018, (既発表論文枠)

島崎隆,計良宥志,伊庭斉志
CMBL:共分散最大化基底学習器による非線形特徴量抽出,
(CMBL: Covariance Maximized Basis Learner for nonlinear feature extraction),
4回 人工知能学会 汎用人工知能研究会 (SIG-AGI), 12月 2016

Yifei Huang, Minjie Cai, Hiroshi Kera, Ryo Yonetani, Keita Higuchi, and Yoichi Sato, Spatial-temporal segmentation of joint attention in multiple first-person videos, In Extended Abstract of Meeting on Image Recognition and Understanding (MIRU), Aug 2017.

Hiroshi Kera, Ryo Yonetani, Keita Higuchi, and Yoichi Sato
Discovering Objects of Shared Attention via First-Person Sensing,
In Extended Abstract of Meeting on Image Recognition and Understanding (MIRU), Aug. 2016

計良宥志,伊庭斉志
消失イデアル遺伝的プログラミング,
進化計算シンポジウム2015, 12月 2015 (IEEE CIS Japan Chapter Young Researcher Award)


Awards

東京大学大学院 情報理工学系研究科 電子情報学専攻 電子情報学専攻長賞,2020

IEEE CIS Japan Chapter Young Researcher Award (Evolutionary Computation), 2015 (http://www.ieee-jp.org/section/tokyo/chapter/CIS-11/index.php?TopPage-J%2FYRA-J%2F2015)

東京大学工学部電子情報工学科 優秀卒業論文賞,2015