2025

Journals & Conferences (peer-reviewed)
  • Xiying Dong, Hiroshi Kera, Kazuhiko Kawamoto, Vulnerability Verification in Robot Control Using Decision Transformer, Communications in Computer and Information Science, vol. 2466, pp. 249-261, 2025  [paper].
  • Tsuyoshi Takano, Hiroshi Kera, Kazuhiko Kawamoto, Robustness Verification of Decision Transformer with Varying Noise-Augmented Data Ratios in Atari Games, Communications in Computer and Information Science, vol. 2466, pp. 262-273, 2025  [paper].
Conferences & arXiv (non-peer-reviewed)
  • Yusuke Marumo, Kazuhiko Kawamoto, Hiroshi Kera, Matching Non-identical Objects, Vision, Graphics, and Sensing Workshop 2025 (poster).
  • Ayumu Ueyama, Kazuhiko Kawamoto, Hiroshi Kera, Data-Driven Weather Forecasting Using Spatial Autoregression, Vision, Graphics, and Sensing Workshop 2025 (poster).
  • Ru Ito, Supatta Viriyavisuthisakul, Kazuhiko Kawamoto, Hiroshi Kera, Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution, arXiv:2503.02767, 2025 [arXiv].
  • Rui Ito, Kazuhiko Kawamoto, Hiroshi Kera, Undertrained Image Reconstruction Model for Blind Image Super-Resolution, PNU-CU Joint Workshop, 2025 (poster).
  • Kaito Sugiyama, Satoshi Suzuki, Hiroshi Kera, Kazuhiko Kawamoto, Hiroshi Kera, FAST: Fourier Analytics-based Selective Test-time Adaptation, PNU-CU Joint Workshop, 2025 (poster).

2024

Journals & Conferences (peer-reviewed)
  • Xiying Dong, Hiroshi Kera, Kazuhiko Kawamoto, Vulnerability Verification in Robot Control Using Decision Transformer, Proc. of ISCIIA, 2024 (to be published in Springer’s Lecture Notes series).
  • Tsuyoshi Takano, Hiroshi Kera, Kazuhiko Kawamoto, Robustness Verification of Decision Transformer with Varying Noise-Augmented Data Ratios in Atari Games, Proc. of ISCIIA, 2024 (to be published in Springer’s Lecture Notes series).
  • Ayumu Ueyama, Kazuhiko Kawamoto, Hiroshi Kera, VarteX: Enhancing Weather Forecast through Distributed Variable Representation, ICML 2024, Workshop on Machine Learning for Earth System Modeling, 2024 [arXiv].
  • Kosuke Sumiyasu, Kazuhiko Kawamoto, and Hiroshi Kera, Identifying Important Group of Pixels using Interactions, CVPR, pp. 6017-6026, 2024 [paper][arXiv][GitHub].
  • Yusuke Marumo, Kazuhiko Kawamoto, Hiroshi Kera, Matching Non-Identical Animals in the Wild, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling in conjunction with CVPR 2024 [arXiv].
  • Katsuya Kosukegawa and Kazuhiko Kawamoto, Long Short-Team Memory for Forecasting Degradation Recovery Process with Binary Maintenance Intervention Records, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E107-A, no. 4, pp.666-669, 2024 [paper].
  • Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto, Fourier analysis on robustness of graph convolutional neural networks for skeleton-based action recognition, Computer Vision and Image Understanding, Vol. 240 (103936), 2024 [paper][arXiv][GitHub].
Conferences & arXiv (non-peer-reviewed)
  • Rui Ito, Undertrained Image Reconstruction Model for Blind Image Super-Resolution, PNU-CU Joint Workshop, 2025.
  • Kaito Sugiyama, FAST: Fourier Analytics-based Selective Test-time Adaptation, PNU-CU Joint Workshop, 2025.
  • Shingo Ayabe, Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto, Robustness Evaluation of Offline Reinforcement Learning for Robot Control Against Action Perturbations, arXiv:2412.18781, 2024 [arXiv].
  • Takuma Fukuda, Hiroshi Kera, Kazuhiko Kawamoto, Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning, arXiv:2412.18219, 2024 [arXiv].
  • Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto, Explaining Object Detectors via Collective Contribution of Pixels, arXiv:2412.00666, 2024 [arXiv].
  • Ayumu Ueyama, Kazuhiko Kawamoto, Hiroshi Kera, VarteX: Enhancing Weather Forecast through Distributed Variable Representation, International Symposium on Weather Controllability 2024.
  • Souta Tosaka, Kazuhiko Kawamoto, Hiroshi Kera, On the Vertical and Horizontal Weather Components in AI-based Forecasting, International Symposium on Weather Controllability 2024.
  • Tomoyasu Nanaumi, Kazuhiko Kawamoto, Hiroshi Kera, Low-Quality Image Detection by Hierarchical VAE, arXiv:2408.10885, 2024 [arXiv].
  • Yuta Sato, Kazuhiko Kawamoto, and Hiroshi Kera, Evaluating the Capability of Transformers in Computational Algebra Problems, 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences, 2024 [web].
  • Kosuke Sumiyasu, Kazuhiko Kawamoto, and Hiroshi Kera, Game-Theoretic Visualization Method of Important Pixels, 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences, 2024 [web].
  • Ki Beom Kim, Juseong Kim, Giltae Song, Kazuhiko Kawamoto, Jeonghoon Choi, Sanghun Sel, Donggil Kang,Keumseok Kang, Minsu Kim and Jonghyeon Bae, HAGCN: Heterogeneous Attentive GCN for gene-disease association, 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences, 2024 [web].
  • Yusuke Marumo, Kazuhiko Kawamoto, Hiroshi Kera, Matching Non-Identical Objects, arXiv:2403.08227, 2024 [arXiv]
  • Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera, Identifying Important Group of Pixels using Interactions, arXiv:2401.03785, 2024 [arXiv].

2023

Journals & Conferences (peer-reviewed)
  • Katsuya Kosukegawa and Kazuhiko Kawamoto, Long Short-Team Memory for Forecasting Degradation Recovery Process with Binary Maintenance Intervention Records, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Article ID 2023EAL2019, Advance online publication, 2023 [paper].
  • Nan Wu, Hiroshi Kera, and Kazuhiro Kawamoto, Improving zero-shot action recognition using human instruction with text description, Applied Intelligence, vol.53, pp.24142–24156, 2023 [paper][SharedIt][arXiv].
  • Haga, Takeshi, Hiroshi Kera, and Kazuhiko Kawamoto. "Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement" Sensors 23, no. 5: 2515, 2023 [paper].
  • Katsuya Kosukegawa, Yasukuni Mori, Hiroki Suyari, Kazuhiko Kawamoto, Spatiotemporal forecasting of vertical track alignment with exogenous factors, Scientific Reports 13, 2354, 2023 [paper][arXiv].
  • Nan Wu, Hiroshi Kera, and Kazuhiko Kawamoto, Zero-Shot Action Recognition with ChatGPT-based Instruction, Advanced Computational Intelligence and Intelligent Informatics, Communications in Computer and Information Science, vol. 1932, pp.18-28, 2023 [paper][SharedIt].
  • Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera, Identifying Important Group of Pixels using Interactions, ICCV 2023 Workshop on Uncertainty Quantification for Computer Vision, 2023.
  • Tomoyasu Nanaumi, Kazuhiko Kawamoto, Hiroshi Kera, Low-Quality Image Detection by Hierarchical VAE, ICCV 2023 Workshop on Uncertainty Quantification for Computer Vision, 2023.
Conferences & arXiv (non-peer-reviewed)
  • Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera, Exploiting Frequency Spectrum of Adversarial Images for General Robustness, arXiv:2305.08439, 2023 [arXiv].

2022

Journals & Conferences (peer-reviewed)
  • Kazuma Fujii, Hiroshi Kera, and Kazuhiko Kawamoto, "Adversarially Trained Object Detector for Unsupervised Domain Adaptation," in IEEE Access, vol. 10, pp. 59534-59543, 2022 [paper][arXiv].
  • Fei Yan, Nan Wu, Abdullah M. Iliyasu, Kazuhiko Kawamoto, and Kaoru Hirota, Framework for identifying and visualizing emotional atmosphere in online learning environments in the COVID-19 Era, Applied Intelligence, Vol.52, pp.9406–9422, 2022 [paper].
  • Takaaki Azakami, Hiroshi Kera, Kazuhiko Kawamoto, Adversarial Body Shape Search for Legged Robots, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 682-687, 2022 [paper][arXiv].
  • Takuto Otomo, Hiroshi Kera, Kazuhiko Kawamoto, Adversarial joint attacks on legged robots, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 676-681, 2022 [paper][arXiv].
  • Nariki Tanaka, Hiroshi Kera, and Kazuhiko Kawamoto, Adversarial Bone Length Attack on Action Recognition, Vol. 36, No.2, pp. 2325-2343, In Proc. of the AAAI Conference on Artificial Intelligence (AAAI), 2022 [paper][arXiv].
Conferences & arXiv (non-peer-reviewed)
  • Katsuya Kosukegawa and Kazuhiko Kawamoto, Long Short-Team Memory for Forecasting Degradation Recovery Process with Maintenance Interventions, The 9th Japan-Korea Joint Workshop on Complex Communication Sciences, 2022.
  • Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera, Adversarial amplitude swap towards robust image classifiers, ECCV 2022 Workshop on Adversarial Robustness in the Real World, 2022 [arXiv].
  • Kosuke Sumiyasu, Hiroshi Kera, Kazuhiko Kawamoto, Game-Theoretic Understanding of Misclassification, arXiv:2210.03349, 2022 [arXiv].

2021

Journals & Conferences (peer-reviewed)
  • Kazuma Fujii and Kazuhiko Kawamoto, Generative and self-supervised domain adaptation for one-stage object detection, Array, Vol. 11, 2021 [paper].
  • Nan Wu and Kazuhiko Kawamoto, Zero-Shot Action Recognition with Three-Stream Graph Convolutional Networks, Sensors 21, no. 11: 3793, 2021 [paper].
  • Kodai Uchiyama and Kazuhiko Kawamoto, Audio-Visual Model for Generating Eating Sounds Using Food ASMR Videos, IEEE Access, Vol.9, pp.50106-50111, 2021 [paper].
  • Shun Kimura and Kazuhiko Kawamoto, "Conditional Motion and Content Decomposed GAN for Zero-Short Video Generation," In Proc. of the 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, 2021 [arXiv].
Conferences & arXiv (non-peer-reviewed)
  • Wataru Okamoto, Hiroshi Kera, and Kazuhiko Kawamoto, Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control, arXiv:2111.10005, 2021 [arXiv].

Previous publications

The previous list of papers is available here.