論文発表

合計145 件

Top-Rank= indicates top-ranked conference/journal in Google Scholar Metrics.
  • Top-Rank

    Yue Qiu, Kodai Nakashima, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, “Scene Change Captioning in Real Scenarios”, HCI International.

  • 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)

  • 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.

  • 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.

  • 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.

  • 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)

  • 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)

  • 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%)

  • 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)

  • 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.

  • 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.

  • 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.

  • 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)

  • Top-Rank

    Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato, “Viewpoint-agnostic Image Rendering,” Winter Conference on Applications of Computer Vision (WACV), 2021.

  • 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)

  • 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)

  • 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)

  • 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.

  • Top-Rank

    Nakamasa Inoue*, Eisuke Yamagata*, Hirokatsu Kataoka, “Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data,” International Conference on Pattern Recognition (ICPR), 2020. (* indicates equal contribution)

  • Top-Rank

    Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue, “Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation”, International Conference on Pattern Recognition (ICPR), 2020. (arXiv pre-print:2003.00187)