Hsueh-Ti Derek Liu

49 papers A* 6Journal 34Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CageNet: A Meta-Framework for Learning on Wild Meshes. SIGGRAPH (Conference Paper Track) Michal Edelstein, Hsueh-Ti Derek Liu, Mirela Ben-Chen
2025	J	`jnl`	CageNet: A Meta-Framework for Learning on Wild Meshes. CoRR Michal Edelstein, Hsueh-Ti Derek Liu, Mirela Ben-Chen
2025	J	`jnl`	Controlling Quadric Error Simplification with Line Quadrics. Comput. Graph. Forum Hsueh-Ti Derek Liu, Mehdi Rahimzadeh, Victor B. Zordan
2025	J	`jnl`	Designing 3D Anisotropic Frame Fields with Odeco Tensors. CoRR Haikuan Zhu, Hongbo Li, Hsueh-Ti Derek Liu, Wenping Wang, Jing Hua, Zichun Zhong
2025	J	`jnl`	Designing 3D Anisotropic Frame Fields with Odeco Tensors. ACM Trans. Graph. Haikuan Zhu, Hongbo Li, Hsueh-Ti Derek Liu, Wenping Wang, Jing Hua, Zichun Zhong
2025	J	`jnl`	Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization. CoRR Kangle Deng, Hsueh-Ti Derek Liu, Yiheng Zhu, Xiaoxia Sun, Chong Shang, Kiran Bhat, Deva Ramanan, Jun-Yan Zhu, Maneesh Agrawala, Tinghui Zhou
2025	J	`jnl`	GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes. CoRR Pradyumn Goyal, Dmitry Petrov, Sheldon Andrews, Yizhak Ben-Shabat, Hsueh-Ti Derek Liu, Evangelos Kalogerakis
2025	J	`jnl`	Kinematic Kitbashing for Modeling Functional Articulated Objects. CoRR Minghao Guo, Victor B. Zordan, Sheldon Andrews, Wojciech Matusik, Maneesh Agrawala, Hsueh-Ti Derek Liu
2025	—	`conf`	Level-of-Detail for Geometry Processing and Simulation. SIGGRAPH Courses Jiayi Eris Zhang, Hsueh-Ti Derek Liu
2025	J	`jnl`	Simplifying Textured Triangle Meshes in the Wild. ACM Trans. Graph. Hsueh-Ti Derek Liu, Xiaoting Zhang, Cem Yuksel
2025	A*	`conf`	Solid-Shell Labeling for Discrete Surfaces. SIGGRAPH Asia Siqi Wang, Janos Meny, Izak Grguric, Mehdi Rahimzadeh, Denis Zorin, Daniele Panozzo, Hsueh-Ti Derek Liu
2024	—	`conf`	A Unified Differentiable Boolean Operator with Fuzzy Logic. SIGGRAPH (Conference Paper Track) Hsueh-Ti Derek Liu, Maneesh Agrawala, Cem Yuksel, Tim Omernick, Vinith Misra, Stefano Corazza, Morgan McGuire, Victor B. Zordan
2024	J	`jnl`	A Unified Differentiable Boolean Operator with Fuzzy Logic. CoRR Hsueh-Ti Derek Liu, Maneesh Agrawala, Cem Yuksel, Tim Omernick, Vinith Misra, Stefano Corazza, Morgan McGuire, Victor B. Zordan
2024	A*	`conf`	Actuators A La Mode: Modal Actuations for Soft Body Locomotion. SIGGRAPH Asia Otman Benchekroun, Kaixiang Xie, Hsueh-Ti Derek Liu, Eitan Grinspun, Sheldon Andrews, Victor B. Zordan
2024	J	`jnl`	Actuators À La Mode: Modal Actuations for Soft Body Locomotion. CoRR Otman Benchekroun, Kaixiang Xie, Hsueh-Ti Derek Liu, Eitan Grinspun, Sheldon Andrews, Victor B. Zordan
2024	A*	`conf`	An Intrinsic Vector Heat Network. ICML Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming C. Lin, Hsueh-Ti Derek Liu
2024	J	`jnl`	An Intrinsic Vector Heat Network. CoRR Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming C. Lin, Hsueh-Ti Derek Liu
2024	J	`jnl`	Simplifying Triangle Meshes in the Wild. CoRR Hsueh-Ti Derek Liu, Xiaoting Zhang, Cem Yuksel
2024	—	`conf`	Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton. SIGGRAPH (Conference Paper Track) Honglin Chen, Hsueh-Ti Derek Liu, David I. W. Levin, Changxi Zheng, Alec Jacobson
2024	J	`jnl`	Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton. CoRR Honglin Chen, Hsueh-Ti Derek Liu, David I. W. Levin, Changxi Zheng, Alec Jacobson
2024	A*	`conf`	Trust-Region Eigenvalue Filtering for Projected Newton. SIGGRAPH Asia Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin, Changxi Zheng
2024	J	`jnl`	Trust-Region Eigenvalue Filtering for Projected Newton. CoRR Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin, Changxi Zheng
2023	—	`—`	Algorithms for Data-driven Geometric Stylization Acceleration Hsueh-Ti Derek Liu
2023	A*	`conf`	Constructive Solid Geometry on Neural Signed Distance Fields. SIGGRAPH Asia Zoë Marschner, Silvia Sellán, Hsueh-Ti Derek Liu, Alec Jacobson
2023	—	`conf`	Differentiable Heightfield Path Tracing with Accelerated Discontinuities. SIGGRAPH (Conference Paper Track) Xiaochun Tong, Hsueh-Ti Derek Liu, Yotam I. Gingold, Alec Jacobson
2023	J	`jnl`	Surface Simplification using Intrinsic Error Metrics. CoRR Hsueh-Ti Derek Liu, Mark Gillespie, Benjamin Chislett, Nicholas Sharp, Alec Jacobson, Keenan Crane
2023	J	`jnl`	Surface Simplification using Intrinsic Error Metrics. ACM Trans. Graph. Hsueh-Ti Derek Liu, Mark Gillespie, Benjamin Chislett, Nicholas Sharp, Alec Jacobson, Keenan Crane
2022	A*	`conf`	Kubric: A scalable dataset generator. CVPR 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
2022	J	`jnl`	Kubric: A scalable dataset generator. CoRR 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, 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
2022	—	`conf`	Learning Smooth Neural Functions via Lipschitz Regularization. SIGGRAPH (Conference Paper Track) Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany
2022	J	`jnl`	Learning Smooth Neural Functions via Lipschitz Regularization. CoRR Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany
2021	—	`conf`	An introduction to deep learning on meshes. SIGGRAPH Courses Rana Hanocka, Hsueh-Ti Derek Liu
2021	J	`jnl`	Normal-Driven Spherical Shape Analogies. Comput. Graph. Forum Hsueh-Ti Derek Liu, Alec Jacobson
2021	J	`jnl`	Normal-Driven Spherical Shape Analogies. CoRR Hsueh-Ti Derek Liu, Alec Jacobson
2021	J	`jnl`	Surface Multigrid via Intrinsic Prolongation. CoRR Hsueh-Ti Derek Liu, Jiayi Eris Zhang, Mirela Ben-Chen, Alec Jacobson
2021	J	`jnl`	Surface multigrid via intrinsic prolongation. ACM Trans. Graph. Hsueh-Ti Derek Liu, Jiayi Eris Zhang, Mirela Ben-Chen, Alec Jacobson
2020	J	`jnl`	Chordal Decomposition for Spectral Coarsening. CoRR Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin
2020	J	`jnl`	Chordal decomposition for spectral coarsening. ACM Trans. Graph. Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin
2020	J	`jnl`	Neural Subdivision. CoRR Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
2020	J	`jnl`	Neural subdivision. ACM Trans. Graph. Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
2020	J	`jnl`	Spectral Mesh Simplification. Comput. Graph. Forum Thibault Lescoat, Hsueh-Ti Derek Liu, Jean-Marc Thiery, Alec Jacobson, Tamy Boubekeur, Maks Ovsjanikov
2019	—	`conf`	Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer. ICLR (Poster) Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson
2019	J	`jnl`	Cubic Stylization. CoRR Hsueh-Ti Derek Liu, Alec Jacobson
2019	J	`jnl`	Cubic stylization. ACM Trans. Graph. Hsueh-Ti Derek Liu, Alec Jacobson
2019	J	`jnl`	Spectral Coarsening of Geometric Operators. CoRR Hsueh-Ti Derek Liu, Alec Jacobson, Maks Ovsjanikov
2019	J	`jnl`	Spectral coarsening of geometric operators. ACM Trans. Graph. Hsueh-Ti Derek Liu, Alec Jacobson, Maks Ovsjanikov
2018	J	`jnl`	Adversarial Geometry and Lighting using a Differentiable Renderer. CoRR Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson
2018	J	`jnl`	Paparazzi: surface editing by way of multi-view image processing. ACM Trans. Graph. Hsueh-Ti Derek Liu, Michael Tao, Alec Jacobson
2017	J	`jnl`	A Dirac Operator for Extrinsic Shape Analysis. Comput. Graph. Forum Hsueh-Ti Derek Liu, Alec Jacobson, Keenan Crane