Hiroshi Kera

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Weather Forecast

Action Recognition

Top Venues

Publications

Yusuke Marumo, Kazuhiko Kawamoto, Hiroshi Kera
Matching Non-Identical Objects. CoRR (2024)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Theoretical Understanding of Learning from Adversarial Perturbations. CoRR (2024)
Ayumu Ueyama, Kazuhiko Kawamoto, Hiroshi Kera
VarteX: Enhancing Weather Forecast through Distributed Variable Representation. CoRR (2024)
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Fourier analysis on robustness of graph convolutional neural networks for skeleton-based action recognition. Comput. Vis. Image Underst. 240 (2024)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Theoretical Understanding of Learning from Adversarial Perturbations. ICLR (2024)
Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
Identifying Important Group of Pixels using Interactions. CoRR (2024)
Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama
Learning to Compute Gröbner Bases. CoRR (2023)
Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera
Exploiting Frequency Spectrum of Adversarial Images for General Robustness. CoRR (2023)
Nan Wu, Hiroshi Kera, Kazuhiko Kawamoto
Improving Accuracy of Zero-Shot Action Recognition with Handcrafted Features. CoRR (2023)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Sparse fooling images: Fooling machine perception through unrecognizable images. Pattern Recognit. Lett. 172 (2023)
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition. CoRR (2023)
Nan Wu, Hiroshi Kera, Kazuhiko Kawamoto
Improving zero-shot action recognition using human instruction with text description. Appl. Intell. 53 (20) (2023)
Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta
Approximate Vanishing Ideal Computations at Scale. ICLR (2023)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Adversarial Training from Mean Field Perspective. NeurIPS (2023)
Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto
Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement. Sensors 23 (5) (2023)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Superclass Adversarial Attack. CoRR (2022)
Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
Adversarially Trained Object Detector for Unsupervised Domain Adaptation. IEEE Access 10 (2022)
Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera
Adversarial amplitude swap towards robust image classifiers. CoRR (2022)
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Adversarial Bone Length Attack on Action Recognition. AAAI (2022)
Hiroshi Kera
Border Basis Computation with Gradient-Weighted Normalization. ISSAC (2022)
Ryosuke Masuya, Yuichi Ike, Hiroshi Kera
Vanishing Component Analysis with Contrastive Normalization. CoRR (2022)
Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto
Adversarial joint attacks on legged robots. SMC (2022)
Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto
Adversarial joint attacks on legged robots. CoRR (2022)
Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
Game-Theoretic Understanding of Misclassification. CoRR (2022)
Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta
Approximate Vanishing Ideal Computations at Scale. CoRR (2022)
Takaaki Azakami, Hiroshi Kera, Kazuhiko Kawamoto
Adversarial Body Shape Search for Legged Robots. CoRR (2022)
Takaaki Azakami, Hiroshi Kera, Kazuhiko Kawamoto
Adversarial Body Shape Search for Legged Robots. SMC (2022)
Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera
Evolving Architectures With Gradient Misalignment Toward Low Adversarial Transferability. IEEE Access 9 (2021)
Kevin Richard G. Operiano, Wanchalerm Pora, Hitoshi Iba, Hiroshi Kera
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability. CoRR (2021)
Hiroshi Kera, Yoshihiko Hasegawa
Monomial-agnostic computation of vanishing ideals. CoRR (2021)
Kazuma Fujii, Hiroshi Kera, Kazuhiko Kawamoto
Adversarially Trained Object Detector for Unsupervised Domain Adaptation. CoRR (2021)
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Adversarial Bone Length Attack on Action Recognition. CoRR (2021)
Hiroshi Kera
Border Basis Computation with Gradient-Weighted Norm. CoRR (2021)
Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto
Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control. CoRR (2021)
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images. CoRR (2020)
Hiroshi Kera, Yoshihiko Hasegawa
Gradient Boosts the Approximate Vanishing Ideal. AAAI (2020)
Hiroshi Kera, Yoshihiko Hasegawa
Gradient Boosts the Approximate Vanishing Ideal. CoRR (2019)
Hiroshi Kera, Yoshihiko Hasegawa
Spurious Vanishing Problem in Approximate Vanishing Ideal. IEEE Access 7 (2019)
Hiroshi Kera, Yoshihiko Hasegawa
Spurious Vanishing Problem in Approximate Vanishing Ideal. CoRR (2019)
Hiroshi Kera, Yoshihiko Hasegawa
Approximate Vanishing Ideal via Data Knotting. AAAI (2018)
Yifei Huang, Minjie Cai, Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato
Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. ICCV Workshops (2017)
Hiroshi Kera, Hitoshi Iba
Vanishing ideal genetic programming. CEC (2016)
Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato
Discovering Objects of Joint Attention via First-Person Sensing. CVPR Workshops (2016)