Top-Rank＝ indicates top-ranked conference/journal in Google Scholar Metrics.
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Selected Papers Top-Rank
Ryosuke Yamada*, Hirokatsu Kataoka*, Naoya Chiba, Yukiyasu Domae Tetsuya Ogata, “Point Cloud Pre-training with Natural 3D Structures”, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.(Acceptance rate: 25.3%; 1st place in Computer Vision at Google Scholar Metrics; * indicates equal contribution)
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Shunsuke Kogure, Kai Watabe, Ryosuke Yamada, Yoshimitsu Aoki, Akio Nakamura, Hirokatsu Kataoka, “Age Should Not Matter: Towards More Accurate Pedestrian Detection via Self-Training”, Computer Sciences & Mathematics Forum (AAAI 2022 Workshop), 2022.
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Top-Rank
Yue Qiu, Kodai Nakashima, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, “Scene Change Captioning in Real Scenarios”, HCI International.
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Selected Papers Top-Rank
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh, “Pre-training without Natural Images”, International Journal of Computer Vision (IJCV), 2022. (IF: 7.410)
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Selected Papers Top-Rank
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh, “Can Vision Transformers Learn without Natural Images?,” AAAI Conference on Artificial Intelligence (AAAI), 2022.
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Top-Rank
Hirokatsu Kataoka, Eisuke Yamagata, Kensho Hara, Ryusuke Hayashi, Nakamasa Inoue, “Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022.
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Top-Rank
Hirokatsu Kataoka, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Yutaka Satoh, “Formula-driven Supervised Learning with Recursive Tiling Patterns,” ICCV 2021 Workshop on Human-centric Trustworthy Computer Vision: From Research to Applications, 2021.
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Top-Rank
Kensho Hara, , Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Ryusuke Hotta, Yutaka Satoh, “Predicting Appearance of Vehicles from Blind Spots Based on Pedestrian Behaviors at Crossroads,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021. (Impact Factor: 6.492)
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Top-Rank
Yue Qiu*, Shintaro Yamamoto*, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh, “Describing and Localizing Multiple Changes with Transformers”, International Conference on Computer Vision (ICCV), 2021. (Acceptance rate: 25.9%; * indicates equal contribution)
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Top-Rank
Ryosuke Yamada, Ryo Takahashi, Ryota Suzuki, Akio NAKAMURA, Yusuke Yoshiyasu, Ryusuke Sagawa, Hirokatsu Kataoka, “MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. (Acceptance rate: 45.0%)
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Top-Rank
Shintaro Yamamoto, Ryota Suzuki, Tsukasa Fukusato, Hirokatsu Kataoka, Shigeo Morishima, “A Case Study on User Evaluation of Scientific Publication Summarization by Japanese Students,” Applied Sciences 2021, 11(14), 2021. (Impact Factor: 2.679)
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Top-Rank
Shintaro Yamamoto, Ryota Suzuki, Hirokatsu Kataoka, Shigeo Morishima, “Comprehending Research Article in Minutes: A User Study of Reading Computer Generated Summary for Young Researchers,” International Conference on Human-Computer Interaction (HCI International), 2021.
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Top-Rank
Shunsuke Kogure, Kai Watabe, Ryosuke Yamada, Yoshimitsu Aoki, Akio Nakamura, Hirokatsu Kataoka, “Robust Self-Trained Person Detection for Vulnerable Road Users,” CVPR 2021 Workshop on Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision (BeyondFairCV), 2021.
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Top-Rank
Kensho Hara, Yuchi Ishikawa, Hirokatsu Kataoka, “Rethinking Training Data for Mitigating Representation Biases in Action Recognition,” CVPR 2021 Workshop on Large Scale Holistic Video Understanding, 2021.
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Top-Rank
Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, Hirokatsu Kataoka, “Alleviating Over-segmentation Errors by Detecting Action Boundaries,” Winter Conference on Applications of Computer Vision (WACV), 2021. (arXiv pre-print:2007.06866)
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Top-Rank
Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato, “Viewpoint-agnostic Image Rendering,” Winter Conference on Applications of Computer Vision (WACV), 2021.
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Top-Rank
Hideki Tsunashima, Kosuke Arase, Antony Lam, Hirokatsu Kataoka, “UVIRT—Unsupervised Virtual Try-on Using Disentangled Clothing and Person Features” Sensors, 2020. (Impact Factor: 3.27)
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Selected Papers Top-Rank
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh, “Pre-training without Natural Images”, Asian Conference on Computer Vision (ACCV), 2020. (Best Paper Honorable Mention Award; Oral Presentation; 3 Strong Accepts)
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Top-Rank
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, “Indoor Scene Change Captioning based on Multi-modality Data”, Sensors, 2020. (Impact Factor: 3.27)
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Top-Rank
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, “3D-Aware Scene Change Captioning from Multiview Images,” IEEE Robotics and Automation Letters (RA-L) with IROS presentation, 2020.