Fangjinhua Wang (王方锦华)
I am a final-year Ph.D. student in Computer Science at ETH Zurich, supervised by Prof. Marc Pollefeys.
Previously, I obtained a Master’s degree in Robotics at ETH zurich (with distinction) and a Bachelor's degree in Mechatronics Engineering at Zhejiang University (with distinction). I am the recipient of ETH Medal (ETH Zurich, 2021) and Chu Kochen Award (highest honor at Zhejiang University, 2017).
I am on the job market, looking for post-doc positions in academia or research scientist positions in industry starting spring/summer 2025. Feel free to contact me and have a chat.
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Research
My research interest lies in building the digital twin of real world for robotics with learning-based perception algorithms, including visual localization, structure-from-motion, 3D reconstruction and novel view synthesis. Especially, I am interested in efficient algorithms that are computation-friendly for applications such as AR/VR/MR and robotics. Additionally, I am interested in accurate reconstruction under challenging settings, including non-Lambertian surfaces, dynamics and sparse inputs.
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Publications
* denotes equal contribution.
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DepthSplat: Connecting Gaussian Splatting and Depth
Haofei Xu,
Songyou Peng,
Fangjinhua Wang,
Hermann Blum,
Daniel Barath,
Andreas Geiger,
Marc Pollefeys
In arXiv. Under review
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Code
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Learning-based Multi-View Stereo: A Survey
Fangjinhua Wang*,
Qingtian Zhu*,
Di Chang*,
Quankai Gao,
Junlin Han,
Tong Zhang,
Richard Hartley,
Marc Pollefeys
In arXiv. Under review
Paper
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UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
Fangjinhua Wang,
Marie-Julie Rakotosaona,
Michael Niemeyer,
Richard Szeliski,
Marc Pollefeys,
Federico Tombari
NeurIPS, 2024
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Code (coming soon)
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HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos
Lixin Xue,
Chen Guo,
Chengwei Zheng,
Fangjinhua Wang,
Tianjian Jiang,
Hsuan-I Ho,
Manuel Kaufmann,
Jie Song,
Otmar Hilliges
ECCV, 2024
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GLACE: Global Local Accelerated Coordinate Encoding
Fangjinhua Wang*,
Xudong Jiang*,
Silvano Galliani,
Christoph Vogel,
Marc Pollefeys
CVPR, 2024
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Code
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VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction
Yufan Ren*,
Fangjinhua Wang*,
Tong Zhang,
Marc Pollefeys,
Sabine Süsstrunk
CVPR, 2023
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Code
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IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo
Fangjinhua Wang,
Silvano Galliani,
Christoph Vogel,
Marc Pollefeys
CVPR, 2022
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Code
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PatchmatchNet: Learned Multi-View Patchmatch Stereo
Fangjinhua Wang,
Silvano Galliani,
Christoph Vogel,
Pablo Speciale,
Marc Pollefeys
CVPR, 2021   (Oral Presentation)
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Code
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Self-Calibrated Multi-Sensor Wearable for Hand Tracking and Modeling
Nikhil Bharadwaj Gosala*,
Fangjinhua Wang*,
Zhaopeng Cui,
Hanxue Liang,
Oliver Glauser,
Shihao Wu,
Olga Sorkine-Hornung
IEEE Transactions on Visualization and Computer Graphics, 2021
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Computer Vision, ETH Zurich, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024
3D Vision, ETH Zurich, Spring 2023, Spring 2024
Introduction to Machine Learning, ETH Zurich, Spring 2021
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Google (Zurich, Switzerland), 2023
Meta Reality Labs (Redmond, US), 2022
Microsoft Mixed Reality & AI Zurich Lab (Zurich, Switzerland), 2020
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Journal reviewer: T-PAMI, IJCV, TIP, TVCG, RA-L, TCSVT, CAG, Neural Computing
Conference reviewer: CVPR, NeurIPS, ICCV, ECCV, AAAI, ICLR, ICRA, ACCV
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