Следене
David Novotny
David Novotny
Facebook AI Research
Потвърден имейл адрес: robots.ox.ac.uk
Заглавие
Позовавания
Позовавания
Година
Accelerating 3d deep learning with pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
arXiv preprint arXiv:2007.08501, 2020
3502020
Semi-convolutional operators for instance segmentation
D Novotny, S Albanie, D Larlus, A Vedaldi
Proceedings of the European Conference on Computer Vision (ECCV), 86-102, 2018
972018
C3dpo: Canonical 3d pose networks for non-rigid structure from motion
D Novotny, N Ravi, B Graham, N Neverova, A Vedaldi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
942019
Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction
J Reizenstein, R Shapovalov, P Henzler, L Sbordone, P Labatut, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
802021
Learning 3D Object Categories by Looking Around Them
D Novotny, D Larlus, A Vedaldi
Proceedings of the IEEE International Conference on Computer Vision, 2017
722017
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
D Novotny, D Larlus, A Vedaldi
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
622017
Self-supervised learning of geometrically stable features through probabilistic introspection
D Novotny, S Albanie, D Larlus, A Vedaldi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
512018
Continuous surface embeddings
N Neverova, D Novotny, M Szafraniec, V Khalidov, P Labatut, A Vedaldi
Advances in Neural Information Processing Systems 33, 17258-17270, 2020
342020
3d multi-bodies: Fitting sets of plausible 3d human models to ambiguous image data
B Biggs, D Novotny, S Ehrhardt, H Joo, B Graham, A Vedaldi
Advances in Neural Information Processing Systems 33, 20496-20507, 2020
292020
Pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
282020
Unsupervised learning of 3d object categories from videos in the wild
P Henzler, J Reizenstein, P Labatut, R Shapovalov, T Ritschel, A Vedaldi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
252021
Neuromorph: Unsupervised shape interpolation and correspondence in one go
M Eisenberger, D Novotny, G Kerchenbaum, P Labatut, N Neverova, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
232021
I have seen enough: Transferring parts across categories
D Novotny, D Larlus, A Vedaldi
British Machine Vision Conference, 2016
222016
Correlated uncertainty for learning dense correspondences from noisy labels
N Neverova, D Novotny, A Vedaldi
Advances in Neural Information Processing Systems 32, 2019
202019
Accelerating 3d deep learning with pytorch3d
J Johnson, N Ravi, J Reizenstein, D Novotny, S Tulsiani, C Lassner, ...
SIGGRAPH Asia 2020 Courses, 1-1, 2020
182020
isdf: Real-time neural signed distance fields for robot perception
J Ortiz, A Clegg, J Dong, E Sucar, D Novotny, M Zollhoefer, M Mukadam
arXiv preprint arXiv:2204.02296, 2022
162022
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
D Novotny, B Graham, J Reizenstein
Advances in Neural Information Processing Systems, 7599-7610, 2019
132019
Learning the structure of objects from web supervision
D Novotny, D Larlus, A Vedaldi
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
122016
Joint object and object part detection using web supervision
D Novotny, DL Larrondo, A Vedaldi
US Patent App. 15/151,856, 2017
112017
Capturing the geometry of object categories from video supervision
D Novotny, D Larlus, A Vedaldi
IEEE transactions on pattern analysis and machine intelligence 42 (2), 261-275, 2018
102018
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