Yongtao Ge

Yongtao Ge

Higher Degree by Research Candidate

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

3D Computer Vision

  • Journals
    Year Citation
    2023 Ge, Y., Zhou, Q., Wang, X., Shen, C., Wang, Z., & Li, H. (2023). Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, 667-675.
    - Mao, W., Ge, Y., Shen, C., Tian, Z., Wang, X., & Wang, Z. (n.d.). TFPose: Direct Human Pose Estimation with Transformers.

  • Conference Papers
    Year Citation
    2022 Mao, W., Ge, Y., Shen, C., Tian, Z., Wang, X., Wang, Z., & den Hengel, A. V. (2022). Poseur: Direct Human Pose Regression with Transformers. In S. Avidan, G. Brostow, M. Cisse, G. M. Farinella, & T. Hassner (Eds.), Computer Vision - ECCV 2022. Vol. 13666 LNCS (pp. 72-88). Tel Aviv, Israel: Springer, Cham.
    DOI Scopus5 WoS4
Connect With Me
External Profiles