Hsueh-Ti Derek Liu

According to our database, Hsueh-Ti Derek Liu authored at least 28 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CageNet: A Meta-Framework for Learning on Wild Meshes.

Michal Edelstein, Hsueh-Ti Derek Liu, Mirela Ben-Chen

CoRR, May, 2025

Designing 3D Anisotropic Frame Fields with Odeco Tensors.

Haikuan Zhu, Hongbo Li, Hsueh-Ti Derek Liu, Wenping Wang, Jing Hua, Zichun Zhong

CoRR, May, 2025

Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization.

Kangle Deng, Hsueh-Ti Derek Liu, Yiheng Zhu, Xiaoxia Sun, Chong Shang, Kiran Bhat, Deva Ramanan, Jun-Yan Zhu, Maneesh Agrawala, Tinghui Zhou

CoRR, April, 2025

GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes.

Pradyumn Goyal, Dmitry Petrov, Sheldon Andrews, Yizhak Ben-Shabat, Hsueh-Ti Derek Liu, Evangelos Kalogerakis

CoRR, April, 2025

2024

Simplifying Triangle Meshes in the Wild.

Hsueh-Ti Derek Liu, Xiaoting Zhang, Cem Yuksel

CoRR, 2024

Trust-Region Eigenvalue Filtering for Projected Newton.

Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin, Changxi Zheng

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Actuators A La Mode: Modal Actuations for Soft Body Locomotion.

Otman Benchekroun, Kaixiang Xie, Hsueh-Ti Derek Liu, Eitan Grinspun, Sheldon Andrews, Victor B. Zordan

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

A Unified Differentiable Boolean Operator with Fuzzy Logic.

Hsueh-Ti Derek Liu, Maneesh Agrawala, Cem Yuksel, Tim Omernick, Vinith Misra, Stefano Corazza, Morgan McGuire, Victor B. Zordan

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton.

Honglin Chen, Hsueh-Ti Derek Liu, David I. W. Levin, Changxi Zheng, Alec Jacobson

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

An Intrinsic Vector Heat Network.

Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming C. Lin, Hsueh-Ti Derek Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Surface Simplification using Intrinsic Error Metrics.

Hsueh-Ti Derek Liu, Mark Gillespie, Benjamin Chislett, Nicholas Sharp, Alec Jacobson, Keenan Crane

ACM Trans. Graph., August, 2023

Algorithms for Data-driven Geometric Stylization Acceleration

Hsueh-Ti Derek Liu

PhD thesis, 2023

Constructive Solid Geometry on Neural Signed Distance Fields.

Zoë Marschner, Silvia Sellán, Hsueh-Ti Derek Liu, Alec Jacobson

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Differentiable Heightfield Path Tracing with Accelerated Discontinuities.

Xiaochun Tong, Hsueh-Ti Derek Liu, Yotam I. Gingold, Alec Jacobson

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

2022

Learning Smooth Neural Functions via Lipschitz Regularization.

Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Kubric: A scalable dataset generator.

Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Surface multigrid via intrinsic prolongation.

Hsueh-Ti Derek Liu, Jiayi Eris Zhang, Mirela Ben-Chen, Alec Jacobson

ACM Trans. Graph., 2021

Normal-Driven Spherical Shape Analogies.

Hsueh-Ti Derek Liu, Alec Jacobson

Comput. Graph. Forum, 2021

An introduction to deep learning on meshes.

Rana Hanocka, Hsueh-Ti Derek Liu

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

2020

Neural subdivision.

Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson

ACM Trans. Graph., 2020

Chordal decomposition for spectral coarsening.

Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin

ACM Trans. Graph., 2020

Spectral Mesh Simplification.

Thibault Lescoat, Hsueh-Ti Derek Liu, Jean-Marc Thiery, Alec Jacobson, Tamy Boubekeur, Maks Ovsjanikov

Comput. Graph. Forum, 2020

2019

Spectral coarsening of geometric operators.

Hsueh-Ti Derek Liu, Alec Jacobson, Maks Ovsjanikov

ACM Trans. Graph., 2019

Cubic stylization.

Hsueh-Ti Derek Liu, Alec Jacobson

ACM Trans. Graph., 2019

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer.

Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Paparazzi: surface editing by way of multi-view image processing.

Hsueh-Ti Derek Liu, Michael Tao, Alec Jacobson

ACM Trans. Graph., 2018

Adversarial Geometry and Lighting using a Differentiable Renderer.

Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson

CoRR, 2018

2017

A Dirac Operator for Extrinsic Shape Analysis.

Hsueh-Ti Derek Liu, Alec Jacobson, Keenan Crane

Comput. Graph. Forum, 2017