I'm a PhD student in Computer Science at Simon Fraser University, working in the GrUVi Lab under the supervision of Prof. Andrea Tagliasacchi. My current research focuses on neural scene representations and more broadly, geometry processing, machine learning, computer graphics, and computer vision.

Before starting my PhD, I completed my Master’s degree in Computer Science at the Technical University of Munich, Germany, where I worked on spectral methods, functional maps, and deep shape matching.

I completed my Bachelor's degree at Xi'an Jiaotong University and spent a semester at the University of California, Berkeley.

Outside of research, I enjoy sci-fi and Nolan films 🤖.


Research

EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection

Yizheng Xie*, Viktoria Ehm*, Paul Roetzer, Nafie El Amrani, Maolin Gao, Florian Bernard, Daniel Cremers

CVPR 2025

Novel overlap predictor, improved IoU performance on all challenging benchmarks by avg. 12%.

Beyond Complete Shapes: A Quantitative Evaluation of 3D Shape Matching Algorithms

Viktoria Ehm*, Nafie El Amrani*, Yizheng Xie, Lennart Bastian, Maolin Gao, Weikang Wang, Lu Sang, Dongliang Cao, Daniel Cremers, Zorah Lähner, Florian Bernard

2025

A comprehensive framework, benchmark and evaluation for partial 3D shape matching.

Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching

Yizheng Xie*, Lennart Bastian*, Nassir Navab, Zorah Lähner

CVPR 2024

A novel approach of hybridizing basis functions originating from different operators, resulting in hybrid functional maps for shape correspondence tasks, improving performance in near-isometric, non-isometric, and topologically noisy settings.

Seminar

An Introductory Perspective on Functional Maps

Aims to provide an intuitive understanding of this representation, its significance, and its applications for non-rigid shape matching.

Thanks to Nicholas Sharp for the excellent template that this page is based on.