Biography

I am Shengjie Zhu, an Applied Scientist at Amazon. I earned my Ph.D. at Michigan State University supervised by Professor Xiaoming Liu. My primary research interests lie in 3D Vision, encompassing monocular / multi-view depth estimation, camera calibration, image correspondence estimation, and two-view / multi-view camera pose estimation.

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

2024

  1. ssfm.gif
    Revisit Self-supervised Depth Estimation with Local Structure-from-Motion
    Shengjie Zhu, and Xiaoming Liu
    In ECCV, 2024
    PDF Code
  2. 2011_09_26_drive_0005_sync.gif
    RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry
    Shengjie* Zhu, Girish Chandar* Ganesan, Abhinav Kumar, and 1 more author
    In ECCV, 2024
    PDF Code

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