Zehan Zheng | 郑泽涵
💫About Me
I am currently a second-year M.S.E. student at ISPC Lab of Tongji University and advised by Prof. Guang Chen. Before this, I obtained the bachelor’s degree in Vehicle Engineering at Tongji University.
My research interests mainly focus on 3D Computer Vision, including Dynamic Reconstruction, Generative Models and Autonomous Driving. In 2022, I was a research intern at OpenDriveLab of Shanghai AI Laboratory advised by Prof. Hongyang Li. From 2024, I interned at CCVL Lab of Johns Hopkins University advised by Bloomberg Distinguished Professor Alan L. Yuille. And I have been a visiting student at SU Lab of UC San Diego advised by Prof. Hao Su, where I spent a wonderful time in La Jolla.
Now I’m looking for Ph.D. (Fall 2025) opportunities, please feel free to drop me an email📬!
Download my Curriculum Vitae.
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🔥News
[2024/12] Invited Talk at Princeton University. [slides]
[2024/12] Invited as a Reviewer for ICML.
[2024/09] 🎉 Two papers was accepted by NeurIPS 2024.
[2024/08] Invited as a Reviewer for ICLR.
[2024/05] Invited as a Reviewer for NeurIPS.
[2024/02] 🎉 One paper was accepted by CVPR 2024.
[2024/01] Invited as a Reviewer for ECCV.
[2023/11] Invited as a Reviewer for CVPR.
[2023/05] Invited as a Reviewer for ICCV.
[2023/02] 🎉 One paper was accepted by CVPR 2023.
[2022/07] 🎉 One paper was accepted by ECCV 2022 (Oral, top 2.7%).
📝Publications
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LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
Zehan Zheng, Fan Lu, Weiyi Xue, Guang Chen, Changjun Jiang.
CVPR, 2024
[Paper] | [Code] | [Project Page] | [Video] | [Talk] | [Slides] | [Poster]
Differentiable LiDAR-only framework for novel space-time LiDAR view synthesis, which reconstructs dynamic driving scenarios and generates realistic LiDAR point clouds end-to-end. It also supports simulation in the dynamic scene.
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
Zehan Zheng∗, Danni Wu∗, Ruisi Lu, Fan Lu, Guang Chen, Changjun Jiang
CVPR, 2023
[Paper] | [Code] | [Project Page] | [Video] (6min)| [Talk] (15min) | [Slides] | [Poster]
4D spatio-temporal Neural field for 3D Point Cloud Interpolation, which implicitly integrates multi-frame information to handle nonlinear large motions for both indoor and outdoor scenarios.
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GeoNLF: Geometry-guided Pose-Free Neural LiDAR Fields
Weiyi Xue∗, Zehan Zheng∗, Fan Lu, Haiyun Wei, Guang Chen, Changjun Jiang
NeurIPS, 2024
[Paper] | [Code] | [Poster]
Global neural optimization framework for pose-free LiDAR reconstruction, which provides explicit geometric priors and achieve simultaneous large-scale multi-view registration and novel view synthesis.
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RCDN: Towards Robust Camera Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
Tianhang Wang, Fan Lu, Zehan Zheng, Guang Chen, Changjun Jiang
NeurIPS, 2024
[Paper] | [Slides] | [Poster]
Collaborative perception framework with BEV feature based static and dynamic fields, which can recover failed perceptual messages sent by multiple agents and achieve high collaborative performance with low calibration cost.
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PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
Li Chen∗, Chonghao Sima∗, Yang Li∗, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan.
ECCV, 2022 (Oral)
[Paper] | [Code] | [Blog] | [Slides] | [Video] (4min) | [Talk] (50min) | [Poster]
End-to-end monocular 3D lane detector with a novel Transformer-based spatial feature transformation module which generates BEV features by attending to related front-view local regions with camera parameters as a reference.
🏗️Projects
Vehicle-mounted Surround-view Fisheye Camera Panoramic Bird’s Eye View (BEV) Calibration
[GitHub Demo]
A novel calibration method for vehicle-mounted surround fish-eye cameras based on the drone, and a real-time bird’s eye view (BEV) generator.
💻Research Experience
July 2024 - Present
Research Intern - SU Lab, University of California San Diego
Advisor: Prof. Hao Su
Research included: 3D Scene Generation, 3D DiffusionMarch 2024 - Present
Research Intern - Computational Cognition, Vision, and Learning Lab (CCVL), Johns Hopkins University
Advisor: Prof. Alan L. Yuille
Research included: Gaussian Splatting from Sparse Point CloudsJuly 2022 - Present
Research Assistant - Intelligent Sensing, Perception and Computing Lab (ISPC), Tongji University
Advisor: Prof. Guang Chen
Research included: 3D Point Clouds, 4D Reconstruction, Neural FieldsDec. 2021 - June 2022
Research Intern - OpenDriveLab of Shanghai AI Laboratory
Advisor: Prof. Hongyang Li
Research included: 3D Laneline Detection in Autonomous DrivingMar. 2021 - Nov. 2021
Research Intern - Comprehensive Perception Research Group (CPRG), Tongji University
Advisor: Prof. Wei Tian
Research included: Fish-eye Camera Calibration, Bird’s Eye View (BEV)
🛠️Engineering Experience
- 2018 - 2021
Tongji University (Formula SAE) Racing Team sponsored by Lotus 🏎️
Technical Leader & Driver & Aerodynamics Group
Achieve 1st in FSC-2019 / 3rd in FSJ-2019 / 3rd in FSC-2020 / 2nd in FSC-2021
Best Aerodynamics Award in FSJ 2019, Best Design Report Award in FSC 2020
🏆Honors and Awards
- NeurIPS Scholar Award (Travel Grant), 2024
- Excellent Graduate of Tongji University, 2022
- Outstanding Student of Tongji University, 2018, 2021, 2023
- First Prize of Tongji University Scholarship (Top 2%), 2018, 2021, 2023
- National First Prize in Formula Student China Competition (FSC), 2020
- National Second Prize of China Undergraduate Mathematical Contest in Modeling (CUMCM), 2020