Top-Rank List
Top-Rank＝ indicates top-ranked conference/journal in Google Scholar Metrics.
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Top-Rank
Kenji Doi, Shutaro Okada, Ryota Yoshihashi, Hirokatsu Kataoka, “Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion,” Asian Conference on Computer Vision (ACCV), 2024.
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Top-Rank
Ryota Yoshihashi, Yuya Otsuka, Kenji Doi, Tomohiro Tanaka, Hirokatsu Kataoka, “Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation,” Asian Conference on Computer Vision (ACCV), 2024.
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Ryosuke Yamada,Ryu Tadokoro,Yue Qiu,Hirokatsu Kataoka,Yutaka Satoh, “Masked Structural Point Cloud Modeling for Learning 3D Representation,” IEEE Access, 2024.
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Fumiya Matsuzawa, Yue Qiu, Yanjun Sun, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh, “Subtle-Diff: A Dataset for Precise Recognition of Subtle Differences among Visually Similar Objects,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
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Top-Rank
Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki, “Rethinking Image Super Resolution from Training Data Perspectives,” European Conference on Computer Vision (ECCV), 2024.
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Top-Rank
Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh, “Formula-Supervised Visual-Geometric Pre-training,” European Conference on Computer Vision (ECCV), 2024.
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Top-Rank
Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, “Scaling Backwards: Minimal Synthetic Pretraining?,” European Conference on Computer Vision (ECCV), 2024.
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Top-Rank
Shun Iwase, Eisaku Maeda, Nakamasa Inoue, Hirokatsu Kataoka, Ryo Nakamura, Rio Yokota, Shuya Takahashi, “On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process,” ICPR 2024.
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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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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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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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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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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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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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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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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.
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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)
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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)
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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%)
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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)
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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.
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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.
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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.
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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)
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Top-Rank
Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato, “Viewpoint-agnostic Image Rendering,” Winter Conference on Applications of Computer Vision (WACV), 2021.
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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)
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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”, Asian Conference on Computer Vision (ACCV), 2020. (Best Paper Honorable Mention Award; Oral Presentation; 3 Strong Accepts)
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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)
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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.
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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)
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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)
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Top-Rank
Hideki Tsunashima, Shigeo Morishima, Junji Yamato, Qiu Chen, Hirokatsu Kataoka, “Adversarial Knowledge Distillation for a Compact Generator”, International Conference on Pattern Recognition (ICPR), 2020.
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Top-Rank
Hiroaki Aizawa, Hirokatsu Kataoka, Yutaka Satoh, Kunihito Kato, “Disentangle, Assemble, and Synthesize: Unsupervised Learning to Disentangle Appearance and Location,” International Conference on Pattern Recognition (ICPR), 2020.
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Selected Papers Top-Rank
Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka, “Retrieving and Highlighting Action with Spatiotemporal Reference,” IEEE International Conference on Image Processing (ICIP), 2020.
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Top-Rank
Kensho Hara, Hirokatsu Kataoka, Masaki Inaba, Kenichi Narioka, Ryusuke Hotta, Yutaka Satoh, “Predicting Vehicles Appearing from Blind Spots Based on Pedestrian Behaviors”, IEEE Intelligent Transportation Systems Conference (ITSC), 2020.
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Top-Rank
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, “Multi-view Visual Question Answering with Active Viewpoint Selection”, Sensors, 2020. (Impact Factor: 3.03)
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Top-Rank
Hirokatsu Kataoka, Teppei Suzuki, Kodai Nakashima, Yutaka Satoh, Yoshimitsu Aoki, “Joint Pedestrian Detection and Risk-level Prediction with Motion-Representation-by-Detection”, International Conference on Robotics and Automation (ICRA), 2020. (Acceptance rate: 42.0%; 1st place in Robotics at Google Scholar Metrics)
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Top-Rank
Ryota Suzuki, Kota Yoshida, Munetaka Minoguchi, Kazuki Tsubura, Takumu Ikeya, Akio Nakamura, Hirokatsu Kataoka, “Joking AI via Visual Cues”, Human Computer Interaction International 2020.
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Yue Qiu, Yutaka Satoh, Ryota Suzuki, Hirokatsu Kataoka, “Incorporating 3D Information into Visual Question Answering”, International Conference on 3D Vision (3DV), 2019.
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Top-Rank
Yue Qiu, Yutaka Satoh, Hirokatsu Kataoka, Ryota Suzuki, “Incorporating Depth into Visual Question Answering”, CVPR 2019 Workshop on Visual Question Answering and Dialog, 2019.
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Yue Qiu, Yutaka Satoh, Hirokatsu Kataoka, Ryota Suzuki, “Visual Question Answering with RGB-D Images”, CVPR 2019 Workshop on Women in Computer Vision (WiCV), 2019.
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Top-Rank
Hirokatsu Kataoka, Kaori Abe, Munetaka Minoguchi, Akio Nakamura, Yutaka Satoh, “Ten-million-order Human Database for World-wide Fashion Culture Analysis”, CVPR 2019 Workshop on Understanding Subjective Attributes of Data, Focus on Fashion and Subjective Search (FFSS-USAD). (Oral)
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Top-Rank
Hirokatsu Kataoka, Yutaka Satoh, “Unsupervised Out-of-context Action Understanding”, IEEE International Conference on Robotics and Automation (ICRA), 2019. (Acceptance rate: 44.0%; 1st place in Robotics at Google Scholar Metrics)
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Top-Rank
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh, “Towards Good Practice for Action Recognition with Spatiotemporal 3D Convolutions”, International Conference on Pattern Recognition (ICPR), 2018.
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Top-Rank
Hirokatsu Kataoka Shuhei Ohki, Kenji Iwata, Yutaka Satoh, “Occlusion Handling Human Detection with Refocused Images”, International Conference on Pattern Recognition (ICPR), 2018.
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Top-Rank
Yue Qiu, Fangge Chen, Shuhei Oki, Hirokatsu Kataoka, “Image generation associated with music data”, CVPR 2018 Workshop on Sight and Sound (WSS).
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Top-Rank
Kota Yoshida, Munetaka Minoguchi, Kenichiro Wani, Akio Nakamura, Hirokatsu Kataoka, “Neural Joking Machine: An image captioning for a humor”, CVPR 2018 Language and Vision Workshop.
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Selected Papers Top-Rank
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh, “Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?”, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Acceptance rate: 29.6%; 1st place in Computer Vision at Google Scholar Metrics)
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Selected Papers Top-Rank
Tomoyuki Suzuki*, Hirokatsu Kataoka*, Yoshimitsu Aoki, Yutaka Satoh, “Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB”, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2018.(Acceptance rate: 29.6%; 1st place in Computer Vision at Google Scholar Metrics; * indicates equal contribution)
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Top-Rank
Hirokatsu Kataoka, Yutaka Satoh, Yoshimitsu Aoki, Shoko Oikawa, Yasuhiro Matsui, “Temporal and Fine-grained Pedestrian Action Recognition on Driving Recorder Database”, Sensors, 2018.(Impact Factor: 2.67)
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Top-Rank
Hirokatsu Kataoka, Teppei Suzuki, Shoko Oikawa, Yasuhiro Matsui, Yutaka Satoh, “Drive Video Analysis for the Detection of Traffic Near-Miss Incidents”, IEEE International Conference on Robotics and Automation (ICRA), May 2018.(Acceptance rate: 40.6%; 1st place in Robotics at Google Scholar Metrics)
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Top-Rank
Fangge Chen, Hirokatsu Kataoka, Yutaka Satoh, “Text Detection in Traffic Informatory Signs Using Synthetic Data”, International Conference on Document Analysis and Recognition (ICDAR 2017), Nov. 2017.
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Top-Rank
Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh, “Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition”, ICCV 2017 Workshop on ChaLearn Looking at People, Oct. 2017.
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Top-Rank
Yuta Matsuzaki, Kazushige Okayasu, Akio Nakamura, Hirokatsu Kataoka, “Generated Motion Maps”, CVPR 2017 Workshop on Brave New Ideas for Motion Representations in Videos (BNMW), Jul. 2017.
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Top-Rank
Yue Qiu, Yutaka Satoh, Ryota Suzuki, Hirokatsu Kataoka, “Sensing and recognition of typical indoor family scenes using an RGB-D camera”, CVPR 2017 Workshop, WiCV, Jul. 2017.
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Top-Rank
Kaori Abe, Hirokatsu Kataoka, Akio Nakamura, “Weighted Feature Integration for Person Re-identification”, CVPR 2017 Workshop, WiCV, Jul. 2017.
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Top-Rank
Hirokatsu Kataoka, Yudai Miyashita, Masaki Hayashi, Kenji Iwata, Yutaka Satoh, “Recognition of Transitional Action for Short-Term Action Prediction using Discriminative Temporal CNN Feature”, British Machine Vision Conference (BMVC), Sep. 2016. (Acceptance rate: 39.4%)
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Top-Rank
Hirokatsu Kataoka, Masaki Hayashi, Kenji Iwata, Yutaka Satoh, Yoshimitsu Aoki, Slobodan Ilic, “Dominant Codewords Selection with Topic Model for Action Recognition”, IEEE CVPR 2016 Workshop on ChaLearn Looking at People, Jul. 2016.
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Top-Rank
Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh, Shoko Oikawa, Yasuhiro Matsui, “Fine-grained Walking Activity Recognition via Driving Recorder Dataset”, IEEE Intelligent Transportation Systems Conference (ITSC), Sep. 2015.
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Top-Rank
Masamichi Shimosaka, Nishi Kentaro, Junichi Sato, Hirokatsu Kataoka, “Predicting Driving Behavior Using Inverse Reinforcement Learning with Multiple Reward Functions towards Environmental Diversity”, IEEE Intelligent Vehicles Symposium (IV), May 2015. (Acceptance rate (oral): 6.6%)
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Top-Rank
Hirokatsu Kataoka, Kiyoshi Hashimoto, Kenji Iwata, Yutaka Satoh, Nassir Navab, Slobodan Ilic, Yoshimitsu Aoki, “Extended Co-occurrence HOG with Dense Trajectories for Fine-grained Activity Recognition”, Asian Conference on Computer Vision (ACCV), Nov. 2014. (Acceptance rate: 27.8%)