Publications

113 Total

Top-Rank= indicates top-ranked conference/journal in Google Scholar Metrics.
  • Yuichi Iwasaki, Hiroko Arai, Akihiro Tamada, Hirokatsu Kataoka, “Japanese mayfly family classification with a vision transformer model”, EcoEvoRxiv, 2024.

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    Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka, “Guided by the Way: The Role of On-the-route Objects and Scene Text in Enhancing Outdoor Navigation”, ICRA 2024.

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    Ryo Nakamura, Ryu Tadokoro, Eisuke Yamagata, Yusuke Kondo, Kensho Hara, Hirokatsu Kataoka, Nakamasa Inoue, “Pseudo-outlier synthesis using q-Gaussian distributions for out-of-distribution detection”, ICASSP 2024.

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    Yuchi Ishikawa, Masayoshi Kondo, Hirokatsu Kataoka, “Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition”, WACV, 2024.

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    Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui, “Diffusion-based Texture Rectification and Synthesis”, SIGGRAPH Asia, 2023.

  • Yamato Okamoto, Osada Genki, Iu Yahiro, Rintaro Hasegawa, Peifei Zhu, Hirokatsu Kataoka, “Image Generation and Learning Strategy for Deep Document Forgery Detection” arXiv pre-print:2311.03650, 2023.

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    Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka, “Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation”, British Machine Vision Conference (BMVC), 2023. (Oral)

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    Gido Kato, Yoshihiro Fukuhara, Mariko Isogawa, Hideki Tsunashima, Hirokatsu Kataoka, Shigeo Morishima, “Scapegoat Generation for Privacy Protection from Deepfake”, International Conference on Image Processing (ICIP), 2023.

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    Yamato Okamoto, Haruto Toyonaga, Yoshihisa Ijiri, Hirokatsu Kataoka, “Constructing Image-Text Pair Dataset from Books”, ICCV 2023 Workshop on Towards the Next Generation of Computer Vision Datasets: DataComp Track, 2023.

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    Shuhei Yokoo, Peifei Zhu, Yuchi Ishikawa, Mikihiro Tanaka, Masayoshi Kondo, Hirokatsu Kataoka, “Leveraging Image-Text Similarity and Caption Modification for the Datacomp Challenge: Filtering Track and BYOD Track”, ICCV 2023 Workshop on Towards the Next Generation of Computer Vision Datasets: DataComp Track, 2023.

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    Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, “SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning”, International Conference on Computer Vision (ICCV), 2023.

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    Ryo Nakamura*, Hirokatsu Kataoka*, Sora Takashima, Edgar Josafat Martinez Noriega, Rio Yokota, Nakamasa Inoue, “Pre-training Vision Transformers with Very Limited Synthesized Images”, International Conference on Computer Vision (ICCV), 2023. (* indicates equal contribution)

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    Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi, “Frequency-aware GAN for Adversarial Manipulation Generation”, International Conference on Computer Vision (ICCV), 2023.

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    Shota Nishiyama, Takuma Saito, Ryo Nakamura, Go Ohtani, Hirokatsu Kataoka, Kensho Hara, “Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.

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    Kodai Nakashima, Hirokatsu Kataoka, Yutaka Satoh, “Does Formula-Driven Supervised Learning Work on Small Datasets?”, IEEE Access, 2023.

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    Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka, “Outdoor Vision-and-Language Navigation Needs Object-level Alignment”, Sensors, 2023.

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    Yue Qiu, Yanjun Sun, Fumiya Matsuzawa, Kenji Iwata, Hirokatsu Kataoka, “Graph Representation for Order-aware Visual Transformation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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    Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota, “Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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    Ryu Tadokoro, Ryosuke Yamada, Hirokatsu Kataoka, “Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation”, CVPR 2023 Workshop on Efficient Deep Learning for Computer Vision, 2023.

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    Risa Shinoda, Ko Motoki, Kensho Hara, Hirokatsu Kataoka, Ryohei Nakano, Tetsuya Nakazaki, Ryozo Noguchi, “A dataset and system for automated rose growth monitoring”, CVPR 2023 Workshop on Women in Computer Vision, 2023.