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Hongjia Zhai
I am a Ph.D. student (Aug. 2020 - Present) in Computer Science at State Key Lab of CAD & CG of Zhejiang University, advised by
Guofeng Zhang
and Hujun Bao.
Before that, I got my bachelor degree in Automation Engineering from Xi'an Jiaotong University,
advised by Xueming Qian.
My research interests lie in 3D computer vision, particularly on Visual Localization,
Reconstruction, Scene Understanding, and Embodied AI.
I am looking for postdoc in 3D vision and embodied intelligence.
If there are suitable opportunities available, please feel free to contact me.
Google Scholar /
GitHub /
E-mail
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News
Publications
 | PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding |
 | SplatLoc: 3D Gaussian Splatting-based Visual Localization for Augmented Reality |
 | NeuraLoc: Visual Localization in Neural Implicit Map with Dual Complementary Features |
 | Scalable Multi-Session Visual SLAM in Large-Scale Scenes with Dyanmic Subgraph Optimization |
 | NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding |
 | Vox-Fusion++: Voxel-based Neural Implicit Dense Tracking and Mapping with Multi-maps |
 | Self-Distillation Hashing for Efficient Hamming Space Retrieval |
 | ImTooth: Neural Implicit Tooth for Dental Augmented Reality |
 | Vox-Surf: Voxel-based Implicit Surface Representation |
 | Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation |
 | ARCargo: Multi-Device Integrated Cargo Loading Management System with Augmented Reality |
 | BDLoc: Global Localization from 2.5D Building Map |
 | Deep Transfer Hashing for Image Retrieval |
Experiences
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Rayneo
Aug. 2024 - Mar. 2025
Research Intern
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SenseTime
Feb. 2022 - Oct. 2022
Research Intern
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Zhejiang University
Aug. 2020 - Present
Ph.D. Degree in Computer Science and Technology
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Xi'an Jiaotong University
Aug. 2016 - Jul. 2020
Bachelor Degree in Automation
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Professional Activities
- Conference reviewer: CVPR, ECCV, ICRA, IROS, ISMAR, VR
- Journal reviewer: TPAMI, IJCV, TCSVT, RAL
Design and source code from
Yujun Shen's website
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