Francis Williams

According to our database, Francis Williams authored at least 25 papers between 2016 and 2024.

Collaborative distances:

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

2024

fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence.

Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth

ACM Trans. Graph., July, 2024

SCube: Instant Large-Scale Scene Reconstruction using VoxSplats.

Xuanchi Ren, Yifan Lu, Hanxue Liang, Zhangjie Wu, Huan Ling, Mike Chen, Sanja Fidler, Francis Williams, Jiahui Huang

CoRR, 2024

Learning to Jointly Understand Visual and Tactile Signals.

Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Approximately Piecewise E(3) Equivariant Point Networks.

Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NeRF-XL: Scaling NeRFs with Multiple GPUs.

Ruilong Li, Sanja Fidler, Angjoo Kanazawa, Francis Williams

Proceedings of the Computer Vision - ECCV 2024, 2024

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata.

Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies.

Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

XCube (X³): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies.

Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams

CoRR, 2023

Neural LiDAR Fields for Novel View Synthesis.

Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Kernel Surface Reconstruction.

Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams

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

LION: Latent Point Diffusion Models for 3D Shape Generation.

Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Fields as Learnable Kernels for 3D Reconstruction.

Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany

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

2021

Symmetry Breaking in Symmetric Tensor Decomposition.

Yossi Arjevani, Joan Bruna, Michael Field, Joe Kileel, Matthew Trager, Francis Williams

CoRR, 2021

Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks.

Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Human 3D keypoints via spatial uncertainty modeling.

Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi

CoRR, 2020

VoronoiNet : General Functional Approximators with Local Support.

Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unwind: Interactive Fish Straightening.

Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra M. Donatelli, Kayla Hall, Adam Summers, Daniele Panozzo, Cláudio T. Silva

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

VoronoiNet: General Functional Approximators with Local Support.

Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi

CoRR, 2019

Unwind: Interactive Fish Straightening.

Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra M. Donatelli, Adam Summers, Daniele Panozzo, Cláudio T. Silva

CoRR, 2019

Geometric computing with python.

Sebastian Koch, Teseo Schneider, Francis Williams, Daniele Panozzo

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Gradient Dynamics of Shallow Univariate ReLU Networks.

Francis Williams, Matthew Trager, Daniele Panozzo, Cláudio T. Silva, Denis Zorin, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Geometric Prior for Surface Reconstruction.

Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ABC: A Big CAD Model Dataset for Geometric Deep Learning.

Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016

Rendering kaleidoscopic scenes using orbifold theory.

Francis Williams, Eugene Zhang

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Technical Briefs, 2016