Yongtao Ge

Yongtao Ge

Higher Degree by Research Candidate

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

2D/3D Human Pose Estimation, Human Motion Generation, Scene Understanding

  • 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.
    Scopus4
    2021 Mao, W., Ge, Y., Shen, C., Tian, Z., Wang, X., & Wang, Z. (2021). 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 Scopus25 WoS16

  • Preprint
    Year Citation
    2024 Ge, Y., Wang, W., Chen, Y., Chen, H., & Shen, C. (2024). 3D Human Reconstruction in the Wild with Synthetic Data Using Generative
    Models.
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