Publications

91 Total

Top-Rank List

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

    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

    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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    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)

  • 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)

  • Top-Rank

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

  • 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)

  • 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.

  • 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.

  • Selected Papers 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)

  • Selected Papers 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%)

  • 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)

  • 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.

  • 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.

  • 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.

  • Selected Papers 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)

  • 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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    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)

  • 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)

  • 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)

  • 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.

  • 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)

  • 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)

  • 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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    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.

  • 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.

  • 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.

  • 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)

  • 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)

  • 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.

  • Top-Rank

    Yue Qiu, Yutaka Satoh, Ryota Suzuki, Hirokatsu Kataoka, “Incorporating 3D Information into Visual Question Answering”, International Conference on 3D Vision (3DV), 2019.

  • 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.

  • Top-Rank

    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.

  • 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)

  • 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)

  • 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.

  • Top-Rank

    Hirokatsu Kataoka Shuhei Ohki, Kenji Iwata, Yutaka Satoh, “Occlusion Handling Human Detection with Refocused Images”, International Conference on Pattern Recognition (ICPR), 2018.

  • Top-Rank

    Yue Qiu, Fangge Chen, Shuhei Oki, Hirokatsu Kataoka, “Image generation associated with music data”, CVPR 2018 Workshop on Sight and Sound (WSS).

  • 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.

  • 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)

  • 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)

  • 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)

  • 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)

  • 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.

  • 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.

  • 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.

  • 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.

  • Top-Rank

    Kaori Abe, Hirokatsu Kataoka, Akio Nakamura, “Weighted Feature Integration for Person Re-identification”, CVPR 2017 Workshop, WiCV, Jul. 2017.

  • 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%)

  • 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.

  • 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.

  • 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%)

  • 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%)