Eric Ming Chen

I’m Eric, a junior at Cornell University studying Computer Science! My interests include 3D computer vision, geometric deep learning and neural fields. I conduct research with Hadar Averbuch-Elor, Jin Sun and Noah Snavely at Cornell Tech; Abe Davis at Cornell; and with CUAI.

Email: emc348[at]    Github: echen01


Computer Vision

I’m interested in many areas of computer vision, many of which deal with content creation.

Light Fields

Transforming Faces Through Time

Geometric Machine Learning

I am also interested in discovering where geometry and symmetry play unexpected roles in data.

Riemannian Residual Neural Networks

Publications and Preprints

Faces Transformed Across Deacdes

What’s in a Decade? Transforming Faces Through Time

Eric M. Chen, Jin Sun, Apoorv Khandelwal, Dani Lischinski, Noah Snavely, Hadar Averbuch-Elor
Eurographics 2023
Website Paper


Riemannian Residual Neural Networks

Isay Katsman*, Eric M. Chen*, Sidhanth Holalkere*, Anna Asch*, Aaron Lou, Ser-Nam Lim, Christopher De Sa
ICML 2022 Workshop on Topology, Algebra, and Geometry in ML
Paper Poster

* Equal Contribution


Slice of Cube

The elegant geometry behind Rwanda’s COVID-19 pooled testing strategy

Eric M. Chen, Medha Bulumulla, Megan Rochlin
Cornell Data Journal, Published Dec. 18, 2020


Eevee Render

Cornell Rendering Competition Submission

I was the runner up to the Cornell CS 6630 rendering competition. I won a copy of Fundamentals of Computer Graphics signed by Steve Marschner!