About Myself
I am currently a second-year doctoral student at the Computational Robotics Lab(CRL) at ETH Zürich, advised by Prof. Stelian Coros and Prof. Bernhard Thomaszewski. I obtained my master's degree in Computer Graphics (CGGT) from the University of Pennsylvania with a thesis titled hybrid Lagrangian-Eulerian topology optimization under the supervision of Prof. Chenfanfu Jiang. My interests lie in physics-based simulation, PDE constrained optimization, computational design, and machine learning. CV
Publications
Yue Li, Juan Montes, Bernhard Thomaszewski, Stelian Coros, IEEE Robotics and Automation Letters (RA-L), 2022 [video] [code (coming soon)] [data (coming soon)]
Jonas Zehnder, Yue Li, Stelian Coros, Bernhard Thomaszewski, Conference on Neural Information Processing Systems (NeurIPS), 2021. [video] [code]
Yue Li, Marc Habermann, Bernhard Thomaszewski, Stelian Coros, Thabo Beeler, Christian Theobalt, International Conference on 3D Vision (3DV), 2021 [Project] [video]
Yue Li*, Xuan Li*, Minchen Li*, Yinxin Zhu, Bo Zhu, Chenfanfu Jiang, International Journal for Numerical Methods in Engineering (IJNME), 2021. (* Equal Contribution) [code]
Yue Li, Pablo Wiedemann , Kenny Mitchell , Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2019.
Yue Li, Liqian Ma, Haoqiang Fan, Kenny Mitchell , Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Production, 2018.(Best Paper Award)
Short Papers, Theses, etc.
Llogari Casas , Yue Li, Kenny Mitchell . SIGGRAPH Asia 2020 Technical Communications.
Experiences
Teaching Assistant
Computational Robotics Lab, ETH ZürichVisual Computing Fall 2020, Fall 2021. Instructor Prof. Stelian Coros.
Computational Models of Motion Spring 2021, Spring 2022. Instructor Prof. Stelian Coros.
(ETH VPN connection required)
Visiting Scholar
MPI Informatics, SaarbrückenHuman Performance Capture. Co-advised by Prof. Christian Theobalt and Dr. Thabo Beeler.
Our paper "Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture" has been accepted to 3DV 2021.
Research Assistant
University of Pennsylvania, PhiladelphiaHybrid Lagrangian-Eulerian Topology Optimization. Advisor Prof. Chenfanfu Jiang.
Teaching assistant, CIS563 Physics-based Animation Fall 2019. Instructor Prof. Chenfanfu Jiang.
Research Intern
Disney Research, GlendaleRendering with Deep Learning. Advisor Prof. Kenny Mitchell.
Research Intern
Edinburgh Napier UniversityResearch Intern in the group of Napier Interactive Graphics and Simulation. Advisor Prof. Kenny Mitchell.
Our paper "Deep Precomputed Radiance Transfer for Deformable Object" has been accepted to PACM CGIT.
Research Intern
Megvii Research (Face++), BeijingResearch Intern Led by Liqian Ma and Haoqiang Fan.
Our paper on 'Feature-preserving detailed 3D face reconstruction from a single image' is awarded of Best Paper at ACM Conference on Visual Media Production 2018 by the ACM Europe Council.
Projects
