Top-Rank＝ indicates top-ranked conference/journal in Google Scholar Metrics.
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Top-Rank
Ryosuke Yamada, Ryosuke Takahashi, Go Ohtani, Erika Mori, Hirokatsu Kataoka, Yoshimitsu Aoki, “Is ImageNet Pre-training Fiar in Image Recognition?,” CVPR Workshop on Responsible Data, 2024
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Top-Rank
Ryo Hayamizu, Shota Nakamura, Sora Takashima, Hirokatsu Kataoka, Ikuro Sato, Nakamasa Inoue, Rio Yokota, “SIFTer: Self-improving Synthetic Datasets for Pre-training Classification Models,” CVPR Workshop on Synthetic Dataset for Computer Vision, 2024.
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Top-Rank
Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka, Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
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Yuichi Iwasaki, Hiroko Arai, Akihiro Tamada, Hirokatsu Kataoka, “Japanese mayfly family classification with a vision transformer model”, EcoEvoRxiv, 2024.
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Top-Rank
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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Top-Rank
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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Top-Rank
Yuchi Ishikawa, Masayoshi Kondo, Hirokatsu Kataoka, “Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition”, WACV, 2024.
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Top-Rank
Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui, “Diffusion-based Texture Rectification and Synthesis”, SIGGRAPH Asia, 2023.
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Top-Rank
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 / Best Industry Paper Finalist)
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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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Top-Rank
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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Top-Rank
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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Top-Rank
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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Top-Rank
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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Top-Rank
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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Top-Rank
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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Top-Rank
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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Top-Rank
Kodai Nakashima, Hirokatsu Kataoka, Yutaka Satoh, “Does Formula-Driven Supervised Learning Work on Small Datasets?”, IEEE Access, 2023.
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Ryota Yoshihashi, Yuya Otsuka, Kenji Doi, Tomohiro Tanaka, Hirokatsu Kataoka, “Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation”, arXiv pre-print:2309.01369, 2023.
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Top-Rank
Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka, “Outdoor Vision-and-Language Navigation Needs Object-level Alignment”, Sensors, 2023.