Shengjie Zhu
About Me

Shengjie Zhu is an Applied Scientist at Amazon Ring AI team. He earned his Ph.D. at Michigan State University under the supervision of Professor Xiaoming Liu. His primary research interests lie in 3D Vision, encompassing 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
  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

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
  2. kitti.gif
    LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles
    Shengjie Zhu, and Xiaoming Liu
    In CVPR, 2023
  3. pmatch.png
    PMatch: Paired Masked Image Modeling for Dense Geometric Matching
    Shengjie Zhu, and Xiaoming Liu
    In CVPR, 2023

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