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MMHuman3D is an open source PyTorch-based codebase for the use of 3D human parametric models. It is a part of the OpenMMLab project.
    - Reproducing popular methods with a modular framework
    - Supporting various datasets with a unified data convention
    - Versatile visualization toolbox

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Awards

[2024-04] Outstanding Student Workshop Speaker at China3DV 2024.

[2023-08] HuMMan is selected for the PREMIA Best Student Paper Awards.

[2022-04] Selected as Highlighted Reviewer at ICLR 2022.

[2021-09] Selected as Outstanding Reviewer at ICCV 2021.

[2019] Future Star (未来之星) and First batch of AI Pioneers (AI先锋) at SenseTime.

[2019] Lee Kuan Yew Gold Medal (Top 1 in Undergraduate Cohort).

Competitions

[2019]: Champion of COCO Panoptic Segmentation Challenge at ICCV 2019.

Services

I serve as a reviewer for computer vision, machine learning, robotics conferences/journals
- CVPR, ICCV, ECCV, IJCV
- ICLR, NeurIPS, ICML
- IROS, RA-L