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Zhenyu Li

About Zhenyu Li

Zhenyu Li

  • Ph.D. Student, Computer Science

3D reconstruction scene understanding depth estimation generative ai visual computing Advanced Perception

Zhenyu Li is a final-year Ph.D. candidate in Computer Science at King Abdullah University of Science and Technology (KAUST), where he is advised by Prof. Peter Wonka, specializing in computer vision, 3D vision, and generative AI, with particular emphasis on monocular depth estimation, high resolution 3D perception, and scene reconstruction.

Events

Presented Events

Nov 15 - Nov 21, 2026

  • KAUST CEMSE CS Ph.D. Dissertation Defense Zhenyu Li Advancing Monocular Depth Estimation: High-Resolution and Amodal Understanding

    Advancing Monocular Depth Estimation: High-Resolution and Amodal Understanding

    Zhenyu Li, Ph.D. Student, Computer Science
    Nov 17, 15:00 - 17:00

    B1 R2202

    depth estimation geometric modeling computational imaging visual computing 3D reconstruction scene understanding Advanced Perception

    This thesis advances monocular depth estimation to develop efficient methods for recovering fine geometric details, such as object boundaries and thin structures, from high-resolution images while preserving scene-wide consistency and metric scale.

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Related Sites

  • Computer Science (CS)
  • Peter Wonka Research Group (P-Wonka)

Related Content

  • Events
    1
  • Upcoming Events

    • KAUST CEMSE CS Ph.D. Dissertation Defense Zhenyu Li Advancing Monocular Depth Estimation: High-Resolution and Amodal Understanding

      Advancing Monocular Depth Estimation: High-Resolution and Amodal Understanding

      Zhenyu Li, Ph.D. Student, Computer Science
      Nov 17, 15:00 - 17:00

      B1 R2202

      depth estimation geometric modeling computational imaging visual computing 3D reconstruction scene understanding Advanced Perception

Related Links

  • Zhenyu Li's personal website

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