Vincent Sitzmann
Vincent Sitzmann
Postdoctoral Researcher at MIT CSAIL
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Saliency in VR: How do people explore virtual environments?
V Sitzmann, A Serrano, A Pavel, M Agrawala, D Gutierrez, B Masia, ...
IEEE transactions on visualization and computer graphics 24 (4), 1633-1642, 2018
159*2018
Deepvoxels: Learning persistent 3d feature embeddings
V Sitzmann, J Thies, F Heide, M Nießner, G Wetzstein, M Zollhofer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
782019
Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification
J Chang, V Sitzmann, X Dun, W Heidrich, G Wetzstein
Scientific reports 8 (1), 1-10, 2018
782018
Unrolled optimization with deep priors
S Diamond, V Sitzmann, F Heide, G Wetzstein
arXiv preprint arXiv:1705.08041, 2017
752017
Dirty pixels: Optimizing image classification architectures for raw sensor data
S Diamond, V Sitzmann, S Boyd, G Wetzstein, F Heide
arXiv preprint arXiv:1701.06487, 2017
692017
Scene representation networks: Continuous 3d-structure-aware neural scene representations
V Sitzmann, M Zollhöfer, G Wetzstein
Advances in Neural Information Processing Systems, 1121-1132, 2019
672019
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging
V Sitzmann, S Diamond, Y Peng, X Dun, S Boyd, W Heidrich, F Heide, ...
ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018
562018
Movie editing and cognitive event segmentation in virtual reality video
A Serrano, V Sitzmann, J Ruiz-Borau, G Wetzstein, D Gutierrez, B Masia
ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017
522017
Towards a machine-learning approach for sickness prediction in 360 stereoscopic videos
N Padmanaban, T Ruban, V Sitzmann, AM Norcia, G Wetzstein
IEEE transactions on visualization and computer graphics 24 (4), 1594-1603, 2018
262018
3D printing: A qualitative assessment of applications, recent trends and the technology's future potential
L Bechthold, V Fischer, A Hainzlmaier, D Hugenroth, L Ivanova, K Kroth, ...
Studien zum deutschen Innovationssystem, 2015
222015
3D printing: A qualitative assessment of applications, recent trends and the technology's future potential
L Bechthold, V Fischer, A Hainzlmaier, D Hugenroth, L Ivanova, K Kroth, ...
Studien zum deutschen Innovationssystem, 2015
222015
3D printing: A qualitative assessment of applications
L Bechthold, V Fischer, A Hainzlmaier, D Hugenroth, L Ivanova, K Kroth, ...
Recent Trends and the Technology’s Future Potential 17, 119, 2015
142015
State of the Art on Neural Rendering
A Tewari, O Fried, J Thies, V Sitzmann, S Lombardi, K Sunkavalli, ...
arXiv preprint arXiv:2004.03805, 2020
112020
Implicit neural representations with periodic activation functions
V Sitzmann, JNP Martel, AW Bergman, DB Lindell, G Wetzstein
arXiv preprint arXiv:2006.09661, 2020
72020
3D printing—a qualitative assessment of applications, recent trends and the technology’s future potential: Studien zum deutschen innovations system
L Bechthold, V Fischer, A Greul, A Hainzlmaier, D Hugenroth, L Ivanova, ...
EFI, Berlin, 2015
52015
Inferring Semantic Information with 3D Neural Scene Representations
A Kohli, V Sitzmann, G Wetzstein
arXiv preprint arXiv:2003.12673, 2020
22020
MetaSDF: Meta-learning Signed Distance Functions
V Sitzmann, ER Chan, R Tucker, N Snavely, G Wetzstein
arXiv preprint arXiv:2006.09662, 2020
12020
Beyond correlation networks
N Huang, L Keselman, V Sitzmann
1
Self-Supervised Scene Representation Learning
V Sitzmann
Stanford University, 2020
2020
Optical Convolutional Neural Networks with Optimized Phase Masks for Image Classification
J Chang, V Sitzmann, G Wetzstein
Frontiers in Optics, FTh1E. 2, 2018
2018
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Articles 1–20