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dblp: Francis Williams https://dblp.org/pid/195/8005.html dblp person page RSS feed Tue, 22 Oct 2024 20:16:20 +0200 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Francis Williamshttps://dblp.org/pid/195/8005.html14451 fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence.https://doi.org/10.1145/3658226Francis Williams

, Jiahui Huang

:
fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence. ACM Trans. Graph. 43(4): 133:1-133:15 (2024)]]>https://dblp.org/rec/journals/tog/WilliamsHSKTCRLFFSM24Mon, 01 Jul 2024 01:00:00 +0200 XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies.https://doi.org/10.1109/CVPR52733.2024.00403Xuanchi Ren, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams:
XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies. CVPR 2024: 4209-4219]]>https://dblp.org/rec/conf/cvpr/RenHZMFW24Mon, 01 Jan 2024 00:00:00 +0100 Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata.https://doi.org/10.1109/CVPR52733.2024.01904Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar:
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata. CVPR 2024: 20145-20154]]>https://dblp.org/rec/conf/cvpr/ZhangWGKF0K24Mon, 01 Jan 2024 00:00:00 +0100 Approximately Piecewise E(3) Equivariant Point Networks.https://openreview.net/forum?id=aKJEHWmBEfMatan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. ICLR 2024]]>https://dblp.org/rec/conf/iclr/AtzmonHWL24Mon, 01 Jan 2024 00:00:00 +0100 Learning to Jointly Understand Visual and Tactile Signals.https://openreview.net/forum?id=NtQqIcSbqvYichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik:
Learning to Jointly Understand Visual and Tactile Signals. ICLR 2024]]>https://dblp.org/rec/conf/iclr/LiDLLWFEKT0M24Mon, 01 Jan 2024 00:00:00 +0100 Approximately Piecewise E(3) Equivariant Point Networks.https://doi.org/10.48550/arXiv.2402.08529Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. CoRR abs/2402.08529 (2024)]]>https://dblp.org/rec/journals/corr/abs-2402-08529Mon, 01 Jan 2024 00:00:00 +0100 NeRF-XL: Scaling NeRFs with Multiple GPUs.https://doi.org/10.48550/arXiv.2404.16221Ruilong Li, Sanja Fidler, Angjoo Kanazawa, Francis Williams:
NeRF-XL: Scaling NeRFs with Multiple GPUs. CoRR abs/2404.16221 (2024)]]>https://dblp.org/rec/journals/corr/abs-2404-16221Mon, 01 Jan 2024 00:00:00 +0100 Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata.https://doi.org/10.48550/arXiv.2406.08292Dongsu Zhang, Francis Williams, Zan Gojcic, Karsten Kreis, Sanja Fidler, Young Min Kim, Amlan Kar:
Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata. CoRR abs/2406.08292 (2024)]]>https://dblp.org/rec/journals/corr/abs-2406-08292Mon, 01 Jan 2024 00:00:00 +0100 fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence.https://doi.org/10.48550/arXiv.2407.01781Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth:
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence. CoRR abs/2407.01781 (2024)]]>https://dblp.org/rec/journals/corr/abs-2407-01781Mon, 01 Jan 2024 00:00:00 +0100 Neural Kernel Surface Reconstruction.https://doi.org/10.1109/CVPR52729.2023.00425Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CVPR 2023: 4369-4379]]>https://dblp.org/rec/conf/cvpr/HuangGALFW23Sun, 01 Jan 2023 00:00:00 +0100 Neural LiDAR Fields for Novel View Synthesis.https://doi.org/10.1109/ICCV51070.2023.01672Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. ICCV 2023: 18190-18200]]>https://dblp.org/rec/conf/iccv/HuangGWWKFSL23Sun, 01 Jan 2023 00:00:00 +0100 Neural LiDAR Fields for Novel View Synthesis.https://doi.org/10.48550/arXiv.2305.01643Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. CoRR abs/2305.01643 (2023)]]>https://dblp.org/rec/journals/corr/abs-2305-01643Sun, 01 Jan 2023 00:00:00 +0100 Neural Kernel Surface Reconstruction.https://doi.org/10.48550/arXiv.2305.19590Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CoRR abs/2305.19590 (2023)]]>https://dblp.org/rec/journals/corr/abs-2305-19590Sun, 01 Jan 2023 00:00:00 +0100 XCube (X3): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies.https://doi.org/10.48550/arXiv.2312.03806Xuanchi Ren

, Jiahui Huang, Xiaohui Zeng, Ken Museth, Sanja Fidler, Francis Williams:
XCube (X³): Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies. CoRR abs/2312.03806 (2023)]]>https://dblp.org/rec/journals/corr/abs-2312-03806Sun, 01 Jan 2023 00:00:00 +0100 Neural Fields as Learnable Kernels for 3D Reconstruction.https://doi.org/10.1109/CVPR52688.2022.01795Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CVPR 2022: 18479-18489]]>https://dblp.org/rec/conf/cvpr/WilliamsGKZBFL22Sat, 01 Jan 2022 00:00:00 +0100 LION: Latent Point Diffusion Models for 3D Shape Generation.http://papers.nips.cc/paper_files/paper/2022/hash/40e56dabe12095a5fc44a6e4c3835948-Abstract-Conference.htmlXiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. NeurIPS 2022]]>https://dblp.org/rec/conf/nips/zengVWGLFK22Sat, 01 Jan 2022 00:00:00 +0100 Learning Smooth Neural Functions via Lipschitz Regularization.https://doi.org/10.1145/3528233.3530713Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. SIGGRAPH (Conference Paper Track) 2022: 31:1-31:13]]>https://dblp.org/rec/conf/siggraph/LiuWJFL22Sat, 01 Jan 2022 00:00:00 +0100 Learning Smooth Neural Functions via Lipschitz Regularization.https://arxiv.org/abs/2202.08345Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. CoRR abs/2202.08345 (2022)]]>https://dblp.org/rec/journals/corr/abs-2202-08345Sat, 01 Jan 2022 00:00:00 +0100 LION: Latent Point Diffusion Models for 3D Shape Generation.https://doi.org/10.48550/arXiv.2210.06978Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. CoRR abs/2210.06978 (2022)]]>https://dblp.org/rec/journals/corr/abs-2210-06978Sat, 01 Jan 2022 00:00:00 +0100 Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks.https://openaccess.thecvf.com/content/CVPR2021/html/Williams_Neural_Splines_Fitting_3D_Surfaces_With_Infinitely-Wide_Neural_Networks_CVPR_2021_paper.htmlFrancis Williams, Matthew Trager, Joan Bruna, Denis Zorin:
Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks. CVPR 2021: 9949-9958]]>https://dblp.org/rec/conf/cvpr/WilliamsTBZ21Fri, 01 Jan 2021 00:00:00 +0100 Symmetry Breaking in Symmetric Tensor Decomposition.https://arxiv.org/abs/2103.06234Yossi Arjevani, Joan Bruna, Michael Field, Joe Kileel, Matthew Trager, Francis Williams:
Symmetry Breaking in Symmetric Tensor Decomposition. CoRR abs/2103.06234 (2021)]]>https://dblp.org/rec/journals/corr/abs-2103-06234Fri, 01 Jan 2021 00:00:00 +0100 Neural Fields as Learnable Kernels for 3D Reconstruction.https://arxiv.org/abs/2111.13674Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CoRR abs/2111.13674 (2021)]]>https://dblp.org/rec/journals/corr/abs-2111-13674Fri, 01 Jan 2021 00:00:00 +0100 Unwind: Interactive Fish Straightening.https://doi.org/10.1145/3313831.3376846Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra M. Donatelli, Kayla Hall, Adam Summers

, Daniele Panozzo, Cláudio T. Silva:
Unwind: Interactive Fish Straightening. CHI 2020: 1-13]]>https://dblp.org/rec/conf/chi/WilliamsBDDHSPS20Wed, 01 Jan 2020 00:00:00 +0100 VoronoiNet : General Functional Approximators with Local Support.https://openaccess.thecvf.com/content_CVPRW_2020/html/w17/Williams_VoronoiNet_General_Functional_Approximators_With_Local_Support_CVPRW_2020_paper.htmlFrancis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet : General Functional Approximators with Local Support. CVPR Workshops 2020: 1069-1073]]>https://dblp.org/rec/conf/cvpr/WilliamsPNPYT20Wed, 01 Jan 2020 00:00:00 +0100 Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks.https://arxiv.org/abs/2006.13782Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin:
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks. CoRR abs/2006.13782 (2020)]]>https://dblp.org/rec/journals/corr/abs-2006-13782Wed, 01 Jan 2020 00:00:00 +0100 Human 3D keypoints via spatial uncertainty modeling.https://arxiv.org/abs/2012.10518Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi:
Human 3D keypoints via spatial uncertainty modeling. CoRR abs/2012.10518 (2020)]]>https://dblp.org/rec/journals/corr/abs-2012-10518Wed, 01 Jan 2020 00:00:00 +0100 ABC: A Big CAD Model Dataset for Geometric Deep Learning.http://openaccess.thecvf.com/content_CVPR_2019/html/Koch_ABC_A_Big_CAD_Model_Dataset_for_Geometric_Deep_Learning_CVPR_2019_paper.htmlSebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov

, Evgeny Burnaev

, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset for Geometric Deep Learning. CVPR 2019: 9601-9611]]>https://dblp.org/rec/conf/cvpr/KochMJWABAZP19Tue, 01 Jan 2019 00:00:00 +0100 Deep Geometric Prior for Surface Reconstruction.http://openaccess.thecvf.com/content_CVPR_2019/html/Williams_Deep_Geometric_Prior_for_Surface_Reconstruction_CVPR_2019_paper.htmlFrancis Williams, Teseo Schneider

, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo:
Deep Geometric Prior for Surface Reconstruction. CVPR 2019: 10130-10139]]>https://dblp.org/rec/conf/cvpr/WilliamsSSZBP19Tue, 01 Jan 2019 00:00:00 +0100 Gradient Dynamics of Shallow Univariate ReLU Networks.https://proceedings.neurips.cc/paper/2019/hash/1f6419b1cbe79c71410cb320fc094775-Abstract.htmlFrancis Williams, Matthew Trager, Daniele Panozzo, Cláudio T. Silva, Denis Zorin, Joan Bruna:
Gradient Dynamics of Shallow Univariate ReLU Networks. NeurIPS 2019: 8376-8385]]>https://dblp.org/rec/conf/nips/WilliamsTPSZB19Tue, 01 Jan 2019 00:00:00 +0100 Geometric computing with python.https://doi.org/10.1145/3305366.3328067Sebastian Koch, Teseo Schneider

, Francis Williams, Daniele Panozzo:
Geometric computing with python. SIGGRAPH Courses 2019: 11:1-11:45]]>https://dblp.org/rec/conf/siggraph/KochSWP19Tue, 01 Jan 2019 00:00:00 +0100 Unwind: Interactive Fish Straightening.http://arxiv.org/abs/1904.04890Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra M. Donatelli, Adam Summers, Daniele Panozzo, Cláudio T. Silva:
Unwind: Interactive Fish Straightening. CoRR abs/1904.04890 (2019)]]>https://dblp.org/rec/journals/corr/abs-1904-04890Tue, 01 Jan 2019 00:00:00 +0100 Gradient Dynamics of Shallow Univariate ReLU Networks.http://arxiv.org/abs/1906.07842Francis Williams, Matthew Trager, Cláudio T. Silva, Daniele Panozzo, Denis Zorin, Joan Bruna:
Gradient Dynamics of Shallow Univariate ReLU Networks. CoRR abs/1906.07842 (2019)]]>https://dblp.org/rec/journals/corr/abs-1906-07842Tue, 01 Jan 2019 00:00:00 +0100 VoronoiNet: General Functional Approximators with Local Support.http://arxiv.org/abs/1912.03629Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi:
VoronoiNet: General Functional Approximators with Local Support. CoRR abs/1912.03629 (2019)]]>https://dblp.org/rec/journals/corr/abs-1912-03629Tue, 01 Jan 2019 00:00:00 +0100 Deep Geometric Prior for Surface Reconstruction.http://arxiv.org/abs/1811.10943Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo:
Deep Geometric Prior for Surface Reconstruction. CoRR abs/1811.10943 (2018)]]>https://dblp.org/rec/journals/corr/abs-1811-10943Mon, 01 Jan 2018 00:00:00 +0100 ABC: A Big CAD Model Dataset For Geometric Deep Learning.http://arxiv.org/abs/1812.06216Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset For Geometric Deep Learning. CoRR abs/1812.06216 (2018)]]>https://dblp.org/rec/journals/corr/abs-1812-06216Mon, 01 Jan 2018 00:00:00 +0100 Rendering kaleidoscopic scenes using orbifold theory.http://dl.acm.org/citation.cfm?id=3005368Francis Williams, Eugene Zhang:
Rendering kaleidoscopic scenes using orbifold theory. SIGGRAPH Asia Technical Briefs 2016: 17]]>https://dblp.org/rec/conf/siggraph/WilliamsZ16Fri, 01 Jan 2016 00:00:00 +0100