Kanglei Zhou

Kanglei Zhou

PhD Candidate

BUAA

Biography

My research leverages Computer Vision (CV) algorithms and Augmented Reality (AR) techniques to integrate human-structured knowledge into human motion analysis, both semantically and geometrically. Specifically, my work focuses on hand/body pose estimation and action quality assessment in medical care, addressing critical challenges in real-world applications under constraints such as limited labeled data and stringent privacy requirements. Key contributions include developing continual learning frameworks to enhance adaptability and robustness in dynamic environments, employing human-in-the-loop verification to improve trustworthiness and applicability, and designing deep causality learning methods to ensure model interpretability.

I am expected to graduate in June 2025 and am seeking a Postdoctoral Research position starting later that year. I am enthusiastic and full of curiosity about everything. If you have a job opportunity, please contact me.

Interests
  • Human motion analysis
  • VR/AR/MR
Education
  • PhD Candidate in CS, 2020--Now

    Beihang University

  • Visiting Student, 2024

    Durham University

  • BSc in CS, 2016--2020

    Henan Normal University

  • Exchange Student, 2019

    Frankfurt University of Applied Science

Selected Publications

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(2025). Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible Networks. ICRA 2025.

(2025). A Comprehensive Survey of Action Quality Assessment: Method and Benchmark. arXiv.

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(2024). MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. ECCV 2024 (Oral).

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(2024). CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. IJCAI 2024.

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(2023). Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising. TVCG.

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(2023). Identifying phenotype-associated subpopulations through LP_SGL. BIB.

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(2023). A Mixed Reality Training System for Hand-Object Interaction in Simulated Microgravity Environments. ISMAR 2023.

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(2023). Hierarchical Graph Convolutional Networks for Action Quality Assessment. TCSVT.

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(2023). A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis. IEEE VR - TVCG.

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(2022). Solution Path Algorithm for Twin Multi-class Support Vector Machine. ESWA.

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(2021). STGAE: Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising. ISMAR 2021.

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