About Me

My name is Shengjie Zhu, a Ph.D. student at Michigan State University supervised by Dr. Xiaoming Liu. My research focuses on monocular/multi-view depth estimation. This is a comprehensive task, encompassing topics including NeRF, structure-from-motion, correspondence estimation, camera pose estimation, camera calibration, self-supervision, etc.

I am actively seeking full-time employment opportunities!

[Resume] [Google Scholar] [Linkedin] [Github]

2023

  1. camerazoom.gif
    Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
    Shengjie Zhu, Abhinav Kumar, Masa Hu, and 1 more author
    In NeurIPS, 2023
    PDF Code
  2. kitti.gif
    LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles
    Shengjie Zhu, and Xiaoming Liu
    In CVPR, 2023
    PDF Code
  3. pmatch.png
    PMatch: Paired Masked Image Modeling for Dense Geometric Matching
    Shengjie Zhu, and Xiaoming Liu
    In CVPR, 2023
    PDF Code

2020

  1. zhu_brazil_liu_cvpr2020.gif
    The edge of depth: Explicit constraints between segmentation and depth
    Shengjie Zhu, Garrick Brazil, and Xiaoming Liu
    In CVPR, 2020
    PDF Code