Fangjinhua Wang

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).

Email / Google Scholar / Github / Linkedin / Twitter

Research

My current research interests mainly lie in efficient 3D perception algorithms for applications such as AR/VR/MR and robotics. Specifically, I mainly focus on deep learning-based methods on visual localization, 3D reconstruction and novel view synthesis.

Publications

* denotes equal contribution.

	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 arXiv, 2023 Paper / Project Page
	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
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, TIP, TVCG, RA-L, TCSVT, CAG, Neural Computing
Conference reviewer: CVPR, ICCV, ECCV, ICRA, NeurIPS

thanks for the awesome template