Ruijie Zhu

Backend Engineer

https://talent.gravityer.com/ruijie-zhu

Ph.D. student @PVG-NTU

Singapore, SingaporeMember since June 28, 2026

Key Strengths

Extensive experience in computer vision and 3D reconstruction, evidenced by numerous research projects and publications.
Proficiency in Python, C++, CUDA, and Shell scripting, indicating strong programming and system-level skills.
Demonstrated ability to contribute to cutting-edge research, with multiple projects accepted at top-tier conferences (ICCV, CVPR, NeurIPS, AAAI).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history is heavily focused on academic research in computer vision and 3D graphics. While this demonstrates strong technical capabilities, the direct alignment with a 'Backend Engineer' role in a typical industry setting is not immediately clear without further context on the specific backend requirements. The projects are all personal/research, lacking diversity in team collaboration or commercial application experience. This suggests a potential mismatch in cultural fit for a standard product-focused backend role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical research achievements.

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Projects

MotionCrafter

February 5, 2026 – Present

[CVPR 2026 Highlight🔥] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

View Project

MeshSplat

August 26, 2025 – Present

[AAAI 2026] MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splatting

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ObjectGS

July 21, 2025 – Present

[ICCV 2025] ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting

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gsplat-object

January 26, 2025 – April 7, 2025

gsplat-object — GitHub repository

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MotionGS

August 20, 2024 – May 25, 2025

[NeurIPS 2024] MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting

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mmdepth

May 31, 2024 – Present

[TCSVT'26 ScaleDepth, TCSVT'24 Plane2Depth, TIP'24 Binsformer] Monocular Depth Estimation Toolbox and Benchmark.

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TI-Face

December 14, 2023 – December 20, 2023

[ICCVW 2023] TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces. 1st place at VSCHH @ ICCV 2023.

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HABins

November 1, 2023 – June 6, 2024

[ECCVW 2022 & TCSVT 2023] HA-Bins: Hierarchical Adaptive Bins for Robust Monocular Depth Estimation across Multiple Datasets. 2nd place in Robust Vision Challenge @ ECCV 2022.

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ER-Depth

September 15, 2023 – Present

[TOMM 2025] ER-Depth: Enhancing the Robustness of Self-Supervised Monocular Depth Estimation in Challenging Scenes

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StatisticalLearning_USTC

February 28, 2023 – January 9, 2024

Statistical Learning course in USTC. 中科大统计学习(刘东)课程复习资料。

View Project

Key Strengths

Extensive experience in computer vision and 3D reconstruction, evidenced by numerous research projects and publications.
Proficiency in Python, C++, CUDA, and Shell scripting, indicating strong programming and system-level skills.
Demonstrated ability to contribute to cutting-edge research, with multiple projects accepted at top-tier conferences (ICCV, CVPR, NeurIPS, AAAI).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical research achievements.

Ruijie Zhu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit