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ORCIDDmitriy Smirnov 0001
Person information
- affiliation: Netflix, Los Gatos, CA, USA
- affiliation (PhD 2022): Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (former): Pomona College, Claremont, CA, USA
Other persons with the same name
- Dmitriy Smirnov 0002
![[0000-0001-6683-3708]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6683-3708")
(aka: Dimitriy Smirnov) — European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK - Dmitriy Smirnov 0003 — Netflix, Los Gatos, CA, USA
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Books and Theses
- 2022
[b1]Dmitriy Smirnov:
Deep Learning on Geometry Representations. MIT, USA, 2022
Journal Articles
- 2022
- [j5]Paul Zhang, Dmitriy Smirnov, Justin Solomon:
Wassersplines for Neural Vector Field-Controlled Animation. Comput. Graph. Forum 41(8): 31-41 (2022) - 2021
- [j4]Dmitriy Smirnov, Justin Solomon:
HodgeNet: learning spectral geometry on triangle meshes. ACM Trans. Graph. 40(4): 166:1-166:11 (2021) - [j3]Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon:
Interactive all-hex meshing via cuboid decomposition. ACM Trans. Graph. 40(6): 256:1-256:17 (2021) - 2018
- [j2]Weiyun Ma, Dmitriy Smirnov, Juliet Forman, A. Schweickart, C. Slocum, S. Srinivasan, Ran Libeskind-Hadas:
DTL-RnB: Algorithms and Tools for Summarizing the Space of DTL Reconciliations. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 411-421 (2018) - 2017
- [j1]Weiyun Ma, Dmitriy Smirnov, Ran Libeskind-Hadas:
DTL reconciliation repair. BMC Bioinform. 18(S-3): 13-21 (2017)
Conference and Workshop Papers
- 2024
- [c9]Winnie Lin, Dmitriy Smirnov, Richard Smith:
A Diffusion-Based Texturing Pipeline for Production-Grade Assets. SIGGRAPH Talks 2024: 45 - 2023
- [c8]Dmitriy Smirnov, Chloe LeGendre, Xueming Yu, Paul E. Debevec:
Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep Colorization. DigiPro 2023: 2:1-2:13 - 2022
- [c7]David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon:
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CVPR 2022: 18644-18654 - 2021
- [c6]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Extraction by Frame Field Learning. CVPR 2021: 5891-5900 - [c5]Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon:
Learning Manifold Patch-Based Representations of Man-Made Shapes. ICLR 2021 - [c4]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon:
MarioNette: Self-Supervised Sprite Learning. NeurIPS 2021: 5494-5505 - 2020
- [c3]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567 - [c2]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Regularized Building Segmentation by Frame Field Learning. IGARSS 2020: 1805-1808 - 2016
- [c1]Satyan L. Devadoss, Ziv Epstein, Dmitriy Smirnov:
Visualizing Scissors Congruence. SoCG 2016: 66:1-66:3
Informal and Other Publications
- 2022
- [i8]Paul Zhang, Dmitriy Smirnov, Justin Solomon:
Wassersplines for Stylized Neural Animation. CoRR abs/2201.11940 (2022) - 2021
- [i7]Dmitriy Smirnov, Justin M. Solomon:
HodgeNet: Learning Spectral Geometry on Triangle Meshes. CoRR abs/2104.12826 (2021) - [i6]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. CoRR abs/2104.14553 (2021) - [i5]Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon:
Interactive All-Hex Meshing via Cuboid Decomposition. CoRR abs/2109.06279 (2021) - [i4]David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon:
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CoRR abs/2111.09383 (2021) - 2020
- [i3]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Segmentation by Frame Field Learning. CoRR abs/2004.14875 (2020) - 2019
- [i2]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019) - [i1]Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon:
Deep Sketch-Based Modeling of Man-Made Shapes. CoRR abs/1906.12337 (2019)
Coauthor Index
aka: Justin M. Solomon
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