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.

Publications

* denotes equal contribution.

DepthSplat: Connecting Gaussian Splatting and Depth
Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys
In arXiv. Under review
Paper / Project Page / Code

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

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
Paper / Project Page / Code (coming soon)

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
Paper / Project Page / Code

GLACE: Global Local Accelerated Coordinate Encoding
Fangjinhua Wang*, Xudong Jiang*, Silvano Galliani, Christoph Vogel, Marc Pollefeys
CVPR, 2024
Paper / Project Page / Code

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
Paper / Project Page / Code

IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys
CVPR, 2022
Paper / Code

PatchmatchNet: Learned Multi-View Patchmatch Stereo
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys
CVPR, 2021   (Oral Presentation)
Paper / Code

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

Teaching experience
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
Work experience
Google (Zurich, Switzerland), 2023
Meta Reality Labs (Redmond, US), 2022
Microsoft Mixed Reality & AI Zurich Lab (Zurich, Switzerland), 2020
Academic service
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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