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Results: 47
Number of items: 47
  • Wang, W., You, S., & Gevers, T. (2020). Kinship Identification Through Joint Learning Using Kinship Verification Ensembles. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XXII, pp. 613-628). (Lecture Notes in Computer Science; Vol. 12367). Springer. https://doi.org/10.1007/978-3-030-58542-6_37
  • Open Access
    Gu, L., Zhang, X., You, S., Zhao, S., Liu, Z., & Harada, T. (2020). Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest. Frontiers in Neuroinformatics, 14, Article 601829. https://doi.org/10.3389/fninf.2020.601829
  • Bao, Z., You, S., Gu, L., & Yang, Z. (2019). Single-image facial expression recognition using deep 3D re-centralization. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1628-1636). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00202
  • Cheng, Z., Zheng, Y., You, S., & Sato, I. (2019). Non-local intrinsic decomposition with near-infrared priors. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 2521-2530). (ICCV). IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00261
  • Li, J., Nguyen, C., & You, S. (2019). Temporal 3D Fully Connected Network for Water-Hazard Detection. In 2019 Digital Image Computing: Techniques and Applications (DICTA): Perth, Australia, 2 December-4 December 2019 (pp. 575-579). IEEE. https://doi.org/10.1109/DICTA47822.2019.8945849
  • Open Access
    Wang, Y., Yoshihashi, R., Kawakami, R., You, S., Harano, T., Ito, M., Komagome, K., Iida, M., & Naemura, T. (2019). Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone. IPSJ Transactions on Computer Vision and Applications, 11(1), Article 3. https://doi.org/10.1186/s41074-019-0056-0
  • Open Access
    Yoshihashi, R., Shao, W., Kawakami, R., You, S., Iida, M., & Naemura, T. (2019). Classification-reconstruction learning for open-set recognition. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 4011-4020). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00414
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