David Lindell

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Gordon WetzsteinStanford UniversityPatvirtintas el. paštas stanford.edu
Matthew O'TooleAssistant Professor, Carnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Alexander W. BergmanStanford UniversityPatvirtintas el. paštas stanford.edu
Julien N.P. MartelPostdoctoral Research Fellow, Computational Imaging Lab @ Stanford UniversityPatvirtintas el. paštas stanford.edu
Vincent SitzmannAssistant Professor, Massachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Eric Ryan ChanStanford UniversityPatvirtintas el. paštas stanford.edu
Felix HeidePrinceton University | Torc RoboticsPatvirtintas el. paštas cs.princeton.edu
Steven DiamondGridmaticPatvirtintas el. paštas cs.stanford.edu
Sherwin BahmaniUniversity of TorontoPatvirtintas el. paštas cs.toronto.edu
Jeong Joon ParkAssistant Professor, University of MichiganPatvirtintas el. paštas umich.edu
Andrea TagliasacchiAssociate Prof, SFU; Research Scientist, Google DeepMindPatvirtintas el. paštas google.com
Kyros KutulakosProfessor of Computer Science, University of TorontoPatvirtintas el. paštas cs.toronto.edu
Sergey TulyakovDirector of Research, Snap Inc.Patvirtintas el. paštas snap.com
Ivan SkorokhodovSnap Inc.Patvirtintas el. paštas snap.com
Connor Zhizhen LinStanford UniversityPatvirtintas el. paštas stanford.edu
Kai ZangStanford UniversityPatvirtintas el. paštas stanford.edu
Dave Van VeenPhD Student, Stanford UniversityPatvirtintas el. paštas stanford.edu
Wang YifanAdobe ResearchPatvirtintas el. paštas adobe.com
David G. LongProfessor of Electrical and Computer Engineering, Brigham Young UniversityPatvirtintas el. paštas ee.byu.edu
Victor RongUniversity of TorontoPatvirtintas el. paštas cs.toronto.edu

Stebėti

David Lindell

Assistant Professor, University of Toronto

Patvirtintas el. paštas cs.toronto.edu - Pagrindinis puslapis

Computational Imaging Computer Vision Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Implicit neural representations with periodic activation functions V Sitzmann, J Martel, A Bergman, D Lindell, G Wetzstein Advances in neural information processing systems 33, 7462-7473, 2020	2806	2020
Confocal non-line-of-sight imaging based on the light-cone transform M O’Toole, DB Lindell, G Wetzstein Nature 555 (7696), 338-341, 2018	539	2018
Acorn: Adaptive coordinate networks for neural scene representation JNP Martel, DB Lindell, CZ Lin, ER Chan, M Monteiro, G Wetzstein arXiv preprint arXiv:2105.02788, 2021	279	2021
AutoInt: Automatic integration for fast neural volume rendering DB Lindell, JNP Martel, G Wetzstein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	272	2021
Wave-based non-line-of-sight imaging using fast f-k migration DB Lindell, G Wetzstein, M O'Toole ACM Transactions on Graphics (ToG) 38 (4), 1-13, 2019	269	2019
Single-photon 3d imaging with deep sensor fusion. DB Lindell, M O'Toole, G Wetzstein ACM Trans. Graph. 37 (4), 113, 2018	202	2018
Bacon: Band-limited coordinate networks for multiscale scene representation DB Lindell, D Van Veen, JJ Park, G Wetzstein Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	161	2022
Non-line-of-sight imaging with partial occluders and surface normals F Heide, M O’Toole, K Zang, DB Lindell, S Diamond, G Wetzstein ACM Transactions on Graphics (ToG) 38 (3), 1-10, 2019	160	2019
Reconstructing transient images from single-photon sensors M O'Toole, F Heide, DB Lindell, K Zang, S Diamond, G Wetzstein Proceedings of the IEEE conference on computer vision and pattern …, 2017	141	2017
Acoustic non-line-of-sight imaging DB Lindell, G Wetzstein, V Koltun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	140	2019
Three-dimensional imaging through scattering media based on confocal diffuse tomography DB Lindell, G Wetzstein Nature communications 11 (1), 4517, 2020	115	2020
Generative neural articulated radiance fields A Bergman, P Kellnhofer, W Yifan, E Chan, D Lindell, G Wetzstein Advances in Neural Information Processing Systems 35, 19900-19916, 2022	114	2022
Sub-picosecond photon-efficient 3D imaging using single-photon sensors F Heide, S Diamond, DB Lindell, G Wetzstein Scientific reports 8 (1), 17726, 2018	111	2018
4D-fy: Text-to-4D generation using hybrid score distillation sampling S Bahmani, I Skorokhodov, V Rong, G Wetzstein, L Guibas, P Wonka, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	80	2024
Non-line-of-sight surface reconstruction using the directional light-cone transform SI Young, DB Lindell, B Girod, D Taubman, G Wetzstein Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	78	2020
SPADnet: deep RGB-SPAD sensor fusion assisted by monocular depth estimation Z Sun, DB Lindell, O Solgaard, G Wetzstein Optics express 28 (10), 14948-14962, 2020	61	2020
Multiyear Arctic sea ice classification using OSCAT and QuikSCAT DB Lindell, DG Long IEEE Transactions on Geoscience and Remote Sensing 54 (1), 167-175, 2015	55	2015
3d gan inversion for controllable portrait image animation CZ Lin, DB Lindell, ER Chan, G Wetzstein arXiv preprint arXiv:2203.13441, 2022	52	2022
Keyhole imaging: non-line-of-sight imaging and tracking of moving objects along a single optical path CA Metzler, DB Lindell, G Wetzstein IEEE Transactions on Computational Imaging 7, 1-12, 2020	52*	2020
Multiyear Arctic ice classification using ASCAT and SSMIS DB Lindell, DG Long Remote Sensing 8 (4), 294, 2016	52	2016

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