About me

I am currently a Ph.D. student of École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, supervised by Prof. Pascal Fua. Before that, I obtained the MEng. degree and BEng. degree from Wuhan University, China.

My research is mainly related to 3D computer vision and geometry processing, and I am particularly interested in 3D scene reconstruction and understanding.

You can find my full CV here.

Selected Publications

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Pascal Fua
Proc. International Conference on Computer Vision (ICCV), 2025
paper code (coming soon!) website

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes
Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Hieu Le, Pascal Fua
arXiv Preprint, 2025
paper

Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration
Aoxiang Fan, Jiayi Ma, Xin Tian, Xiaoguang Mei, Wei Liu
Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
paper code

Efficient Deterministic Search with Robust Loss Functions for Geometric Model Fitting
Aoxiang Fan, Jiayi Ma, Xingyu Jiang, Haibin Ling
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
paper code

Smoothness-Driven Consensus Based on Compact Representation for Robust Feature Matching
Aoxiang Fan, Xingyu Jiang, Yong Ma, Xiaoguang Mei, Jiayi Ma
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
paper code

Image matching from handcrafted to deep features: A survey
Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan
International Journal of Computer Vision (IJCV), 2021
paper

Geometric Estimation via Robust Subspace Recovery
Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma
Proc. European Conference on Computer Vision (ECCV), 2020
paper code

Education

Ph.D. in Computer Science
École Polytechnique Fédérale de Lausanne (EPFL)
2022 - present

M.Eng. in Information and Communication Engineering
Wuhan University, MVPLab
2018 - 2021

B.Eng. in Electronic Information Science and Technology
Wuhan University
2014 - 2018

Research Experience

TuSimple-Autonomous Trucking Technology
Worked closely with Dr. Ji Zhao and Dr. Naiyan Wang
November 2020 - March 2021

Research Projects

Deep Learning of Feature Matching in the Perspective of Graph Matching Prospective In the field of image feature matching, the emergence of the SuperGlue method which uses a trained network in place of plain nearest neighbor matching, has significantly improved the capacity of many practical applications such as SfM and visual localization. However, the network of SuperGlue essentially condiers a linear assignment problem in its matching process. In this project, we intend to incorporate a graph matching (quadratic assignment) perspective to design a novel network for the task of image feature matching.

Contact

Email: aoxiangfan@gmail.com