Publications

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

Top-Rank

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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Top-Rank

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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- Project
- Code
- Poster
Top-Rank

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.
Top-Rank

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.
Top-Rank

Ryosuke Yamada, Risa Shinoda, Hirokatsu Kataoka, “Exploring the Potential of Neural Dataset Search”, CVPR 2023 Workshop on Neural Architecture Search, 2023.
Top-Rank

Fumiya Matsuzawa, Yue Qiu, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh, “Question Generation for Uncertainty Elimination of Referring Expression in 3D Environment”, IEEE International Conference on Robotics and Automation (ICRA), 2023.
Top-Rank

Yue Qiu, Shintaro Yamamoto, Ryosuke Yamada, Ryota Suzuki, Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh, “3D Change Localization and Captioning from Dynamic Scans of Indoor Scenes”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
Top-Rank

Yue Qiu, Yoshiki Nagasaki, Kensho Hara, Hirokatsu Kataoka, Ryota Suzuki, Kenji Iwata, Yutaka Satoh, “VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset with Consistent Relationship Labels”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
Top-Rank

Risa Shinoda, Hirokatsu Kataoka, Kensho Hara, “Tomato’s Ripeness Segmentor with Transformers”, Agriculture-Vision: 3rd International Workshop and Prize Challenge at CVPR 2022.
Selected Papers Top-Rank

Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota, “Replacing Labeled Real-Image Datasets with Auto-Generated Contours”, 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)
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- GitHub
- Poster
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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- PDF
- GitHub
- Poster
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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- Project
- GitHub
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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- Project
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)
- Project
- PDF
- GitHub
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%)
- Project

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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.

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.

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.

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.

Ryosuke Yamada, Risa Shinoda, Hirokatsu Kataoka, “Exploring the Potential of Neural Dataset Search”, CVPR 2023 Workshop on Neural Architecture Search, 2023.

Fumiya Matsuzawa, Yue Qiu, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh, “Question Generation for Uncertainty Elimination of Referring Expression in 3D Environment”, IEEE International Conference on Robotics and Automation (ICRA), 2023.

Yue Qiu, Shintaro Yamamoto, Ryosuke Yamada, Ryota Suzuki, Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh, “3D Change Localization and Captioning from Dynamic Scans of Indoor Scenes”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

Yue Qiu, Yoshiki Nagasaki, Kensho Hara, Hirokatsu Kataoka, Ryota Suzuki, Kenji Iwata, Yutaka Satoh, “VirtualHome Action Genome: A Simulated Spatio-Temporal Scene Graph Dataset with Consistent Relationship Labels”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

Risa Shinoda, Hirokatsu Kataoka, Kensho Hara, “Tomato’s Ripeness Segmentor with Transformers”, Agriculture-Vision: 3rd International Workshop and Prize Challenge at CVPR 2022.

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.

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

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)

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.

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.

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.

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)

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)

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)