Hsueh-Ti Derek Liu

I am a final year Computer Science PhD student at the University of Toronto, advised by Alec Jacobson. My research in digital geometry processing develops easy-to-use tools to manipulate 3D shapes and algorithms for processing geometric data at scale. I received my BSE at National Taiwan University, and MS at Carnegie Mellon University advised by Keenan Crane and Levent Burak Kara. My research is partially supported by the Adobe Research Fellowship, the Robert E. Lansdale and Okino Computer Graphics Graduate Fellowship, the Mary H. Beatty Fellowship, and the Mitacs Globalink Research Award. Recently, I am doing an internship at NVIDIA mentored by Sanja Fidler and co-organizing a webseries about geometry processing – Toronto Geometry Colloquium.

E-mail: hsuehtil@cs.toronto.edu
Address: 5166, 40 St. George Street, Toronto, ON M5S 2E4, Canada

Publications

Surface Multigrid via Intrinsic Prolongation
Hsueh-Ti Derek Liu, Jiayi Eris Zhang, Mirela Ben-Chen, Alec Jacobson
ACM Transactions on Graphics (SIGGRAPH North America), 2021
Paper (65MB) ArXiv Project Code Talk



An Introduction to Deep Learning on Meshes
Rana Hanocka, Hsueh-Ti Derek Liu
SIGGRAPH Course, 2021
Website Video (coming soon)



Normal-Driven Spherical Shape Analogies
Hsueh-Ti Derek Liu, Alec Jacobson
Computer Graphics Forum (SGP), 2021
Paper (74MB) ArXiv Talk Code (MATLAB) Code (C++)



Chordal Decomposition for Spectral Coarsening
Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I.W. Levin
ACM Transactions on Graphics (SIGGRAPH Asia), 2020
Paper (81MB) Project Code



Neural Subdivision
Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
ACM Transactions on Graphics (SIGGRAPH North America), 2020
Paper (95MB) ArXiv Project Code Talk



Spectral Mesh Simplification
Thibault Lescoat, Hsueh-Ti Derek Liu, Jean-Marc Thiery, Alec Jacobson, Tamy Boubekeur, Maks Ovsjanikov
Computer Graphics Forum (Eurographics), 2020
Paper (35MB) Code (C++)



Cubic Stylization
Hsueh-Ti Derek Liu, Alec Jacobson
ACM Transactions on Graphics (SIGGRAPH Asia), 2019
Paper (98MB) ArXiv Project Video Code (MATLAB) Code (C++)



Spectral Coarsening of Geometric Operators
Hsueh-Ti Derek Liu, Alec Jacobson, Maks Ovsjanikov
ACM Transactions on Graphics (SIGGRAPH North America), 2019
Paper (78MB) ArXiv Project Talk Code (MATLAB)



Beyond Pixel Norm-Balls:
Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson
ICLR 2019
Paper (3MB) ArXiv Poster



Paparazzi: Surface Editing by way of Multi-View Image Processing
Hsueh-Ti Derek Liu, Michael Tao, Alec Jacobson
ACM Transactions on Graphics (SIGGRAPH Asia), 2018
Paper (37MB) Paper (6MB) Project Code (Python)



A Dirac Operator for Extrinsic Shape Analysis
Hsueh-Ti Derek Liu, Alec Jacobson, Keenan Crane
Computer Graphics Forum (SGP), 2017
Paper (6MB) Project Code (MATLAB)

Data

Mesh MNIST
This mesh MNIST dataset serves as the Hello World dataset of mesh deep learning. It contains thousands of 3D meshes of handwritten digits. This dataset is created from the image MNIST.
Download

Fun

Blender toolbox
This contains a set of Python scripts for rendering 3D shapes in Blender, designed to efficiently render paper figures. This toolbox is still under development, if any questions or recommendations, please contact me via email.
Link