Publications

91 Total

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

  • Naofumi Akimoto, Hirokatsu Kataoka, Yoshimitsu Aoki, “Generating Effect Animation with Conditional GANs”, SIGGRAPH Asia 2018 Posters, 2018.

  • Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima, Hirokatsu Kataoka, “Automatic Paper Summary Generation from Visual and Textual Information”, International Conference on Machine Vision (ICMV) 2018

  • Kaori Abe, Munetaka Minoguchi, Teppei Suzuki, Tomoyuki Suzuki, Naofumi Akimoto, Yue Qiu, Ryota Suzuki, Kenji Iwata, Yutaka Satoh, Hirokatsu Kataoka, “Fashion Culture Database: Construction of Database for World-wide Fashion Analysis”, IEEE ICARCV 2018.

  • Tomoyuki Suzuki, Munetaka Minoguchi, Ryota Suzuki, Akio Nakamura, Kenji Iwata, Yutaka Satoh, Hirokatsu Kataoka, “Semantic Change Detection”, IEEE ICARCV 2018.

  • Tomoyuki Suzuki, Takahiro Itazuri, Kensho Hara, Hirokatsu Kataoka, “Learning Spatiotemporal 3D Convolution with Video Order Self-Supervision”, ECCV 2018 Workshop on Person in Context (PIC).

  • Ryota Natsume*, Kazuki Inoue*, Shintaro Yamamoto, Yoshihiro Fukuhara, Shigeo Morishima, Hirokatsu Kataoka, “Understanding Fake-Faces”, ECCV 2018 Workshop on Brain-Driven Computer Vision (BDCV), 2018.

  • 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.

  • Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh, “AIST Submission to ActivityNet Challenge 2018”, ActivityNet Large Scale Activity Recognition Challenge in Conjunction with CVPR 2018.

  • Tenga Wakamiya, Takumu Ikeya, Akio Nakamura, Kensho Hara, Hirokatsu Kataoka, “TDU&AIST Submission for ActivityNet Challenge 2018 in Video Caption Task”, ActivityNet Large Scale Activity Recognition Challenge in Conjunction with CVPR 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.

  • Kaori Abe*, Teppei Suzuki*, Shunya Ueta, Akio Nakamura, Yutaka Satoh, Hirokatsu Kataoka, “Dynamic Fashion Cultures”, arXiv pre-print:1703.07920, 2017. (* indicates equal contribution) (Acceptance rate (oral): 28.0%, Best Student Award)