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2020 – today
- 2023
[c11]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023- [i7]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i6]Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut:
PaLI-3 Vision Language Models: Smaller, Faster, Stronger. CoRR abs/2310.09199 (2023) - 2022
- [c10]Avisek Lahiri, Junjie Ke, Daniel Vlasic, Xinwei Yao
, Tianli Yu, Feng Yang:
Identifying Document Images with Glare Using Global and Localized Feature Fusion. ICIP 2022: 756-760 - 2021
- [c9]Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR 2021: 10093-10102 - [c8]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR 2021: 15980-15989 - [c7]Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang:
Differentiable Surface Rendering via Non-Differentiable Sampling. ICCV 2021: 6068-6077 - [c6]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan:
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021: 19326-19338 - [i5]Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR abs/2104.14544 (2021) - [i4]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR abs/2105.02976 (2021) - [i3]Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang:
Differentiable Surface Rendering via Non-Differentiable Sampling. CoRR abs/2108.04886 (2021)
2010 – 2019
- 2019
- [c5]Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates With Structured Implicit Functions. ICCV 2019: 7153-7163 - [i2]Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates with Structured Implicit Functions. CoRR abs/1904.06447 (2019) - 2018
- [c4]Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman:
Unsupervised Training for 3D Morphable Model Regression. CVPR 2018: 8377-8386 - [i1]Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman:
Unsupervised Training for 3D Morphable Model Regression. CoRR abs/1806.06098 (2018) - 2012
- [j7]Hao Li, Linjie Luo, Daniel Vlasic, Pieter Peers, Jovan Popovic, Mark Pauly, Szymon Rusinkiewicz:
Temporally coherent completion of dynamic shapes. ACM Trans. Graph. 31(1): 2:1-2:11 (2012) - 2011
- [j6]Kevin Dale, Kalyan Sunkavalli, Micah K. Johnson, Daniel Vlasic, Wojciech Matusik, Hanspeter Pfister:
Video face replacement. ACM Trans. Graph. 30(6): 130 (2011) - 2010
- [b1]Daniel Vlasic:
Reconstruction and analysis of dynamic shapes. Massachusetts Institute of Technology, Cambridge, MA, USA, 2010
2000 – 2009
- 2009
- [j5]Ilya Baran, Daniel Vlasic, Eitan Grinspun, Jovan Popovic:
Semantic deformation transfer. ACM Trans. Graph. 28(3): 36 (2009) - [j4]Daniel Vlasic, Pieter Peers, Ilya Baran, Paul E. Debevec, Jovan Popovic, Szymon Rusinkiewicz, Wojciech Matusik:
Dynamic shape capture using multi-view photometric stereo. ACM Trans. Graph. 28(5): 174 (2009) - 2008
- [j3]Daniel Vlasic, Ilya Baran, Wojciech Matusik, Jovan Popovic:
Articulated mesh animation from multi-view silhouettes. ACM Trans. Graph. 27(3): 97 (2008) - 2007
- [j2]Daniel Vlasic, Rolf Adelsberger, Giovanni Vannucci, John Barnwell, Markus H. Gross, Wojciech Matusik, Jovan Popovic:
Practical motion capture in everyday surroundings. ACM Trans. Graph. 26(3): 35 (2007) - 2006
- [c3]Daniel Vlasic, Matthew Brand, Hanspeter Pfister, Jovan Popovic:
Face transfer with multilinear models. SIGGRAPH Courses 2006: 24 - 2005
- [j1]Daniel Vlasic, Matthew Brand, Hanspeter Pfister, Jovan Popovic:
Face transfer with multilinear models. ACM Trans. Graph. 24(3): 426-433 (2005) - 2004
- [c2]Daniel Vlasic, Matthew Brand, Hanspeter Pfister, Jovan Popovic:
Multilinear models for face synthesis. SIGGRAPH Sketches 2004: 56 - 2003
- [c1]Daniel Vlasic, Hanspeter Pfister, Sergey Molinov, Radek Grzeszczuk, Wojciech Matusik:
Opacity light fields: interactive rendering of surface light fields with view-dependent opacity. SI3D 2003: 75-82
Coauthor Index
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