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
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Github
2024
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Revisit Self-supervised Depth Estimation with Local Structure-from-Motion
Shengjie Zhu, and Xiaoming Liu
In ECCV, 2024
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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
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Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Shengjie Zhu, Abhinav Kumar, Masa Hu, and
1 more author
In NeurIPS, 2023
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LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles
Shengjie Zhu, and Xiaoming Liu
In CVPR, 2023
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PMatch: Paired Masked Image Modeling for Dense Geometric Matching
Shengjie Zhu, and Xiaoming Liu
In CVPR, 2023
2020
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The edge of depth: Explicit constraints between segmentation and depth
Shengjie Zhu, Garrick Brazil, and Xiaoming Liu
In CVPR, 2020