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Kataoka, Hirokatsu

  1. Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
    2017/11/27 by Hara, Kensho, Kataoka, Hirokatsu, Satoh, Yutaka · 30 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  2. Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
    2017/08/25 by Kensho Hara, Hara, Kensho, Hirokatsu Kataoka +3 · 15 citations
    Computer Science · Engineering · #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications #Gait Recognition and Analysis
  3. Pre-training without Natural Images
    2021/01/21 by Kataoka, Hirokatsu, Okayasu, Kazushige, Matsumoto, Asato +5 · 9 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB
    2018/04/08 by Tomoyuki Suzuki, Hirokatsu Kataoka, Suzuki, Tomoyuki +5 · 5 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Traffic Prediction and Management Techniques #Traffic and Road Safety
  5. Describing and Localizing Multiple Changes with Transformers
    2021/03/25 by Qiu, Yue, Yamamoto, Shintaro, Nakashima, Kodai +4 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Can Vision Transformers Learn without Natural Images?
    2021/03/24 by Kodai Nakashima, Nakashima, Kodai, Hirokatsu Kataoka +7 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Retinal Imaging and Analysis #Visual Attention and Saliency Detection
  7. Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
    2018/04/07 by Kataoka, Hirokatsu, Suzuki, Teppei, Oikawa, Shoko +2 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
  8. Semantic Change Detection with Hypermaps
    2016/04/26 by Soma Shirakabe, Suzuki, Teppei, Yudai Miyashita +8 · 3 citations
    Engineering · Computer Science · #Remote-Sensing Image Classification #Anomaly Detection Techniques and Applications #Advanced Image and Video Retrieval Techniques
  9. Alleviating Over-segmentation Errors by Detecting Action Boundaries
    2020/07/14 by Ishikawa, Yuchi, Kasai, Seito, Aoki, Yoshimitsu +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  10. Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
    2024/04/15 by Zhu, Peifei, Takahashi, Tsubasa, Kataoka, Hirokatsu · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  11. Pre-training Vision Transformers with Very Limited Synthesized Images
    2023/07/27 by Nakamura, Ryo, Kataoka, Hirokatsu, Takashima, Sora +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  12. Scaling Backwards: Minimal Synthetic Pre-training?
    2024/08/01 by Nakamura, Ryo, Tadokoro, Ryu, Yamada, Ryosuke +6 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves
    2023/03/02 by Takashima, Sora, Hayamizu, Ryo, Inoue, Nakamasa +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Human Action Recognition without Human
    2016/08/29 by Kataoka, Hirokatsu, Hara, Kensho, Satoh, Yutaka · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimedia (cs.MM)
  15. Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
    2020/04/10 by Kataoka, Hirokatsu, Wakamiya, Tenga, Hara, Kensho +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  16. Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation
    2023/09/04 by Yoshihashi, Ryota, Otsuka, Yuya, Doi, Kenji +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  17. Pre-training Vision Transformers with Formula-driven Supervised Learning
    2022/06/18 by Kataoka, Hirokatsu, Takashima, Sora, Hayamizu, Ryo +6 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. AgroBench: Vision-Language Model Benchmark in Agriculture
    2025/07/28 by Shinoda, Risa, Inoue, Nakamasa, Kataoka, Hirokatsu +2 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  19. Diffusion-based Holistic Texture Rectification and Synthesis
    2023/09/26 by Hao, Guoqing, Iizuka, Satoshi, Hara, Kensho +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR)
  20. Image Generation and Learning Strategy for Deep Document Forgery Detection
    2023/11/07 by Okamoto, Yamato, Genki, Osada, Yahiro, Iu +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. Pre-training with 3D Synthetic Data: Learning 3D Point Cloud Instance Segmentation from 3D Synthetic Scenes
    2025/03/31 by Daichi Otsuka, Shinichi Mae, Otsuka, Daichi +5 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Robotics and Sensor-Based Localization