Top-Rank＝ indicates top-ranked conference/journal in Google Scholar Metrics.
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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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Risa Shinoda, Hirokatsu Kataoka, Kensho Hara, Ryozo Noguchi, “Transformer-based ripeness segmentation for tomatoes,” Smart Agricultural Technology, 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.
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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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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.
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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.
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Top-Rank
Ryosuke Yamada, Risa Shinoda, Hirokatsu Kataoka, “Exploring the Potential of Neural Dataset Search”, CVPR 2023 Workshop on Neural Architecture Search, 2023.
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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.
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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.
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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.
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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.
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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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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.