Folgen
David Novotny
David Novotny
Facebook AI Research
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Accelerating 3d deep learning with pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
arXiv preprint arXiv:2007.08501, 2020
2592020
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
902018
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
762019
Learning 3D Object Categories by Looking Around Them
D Novotny, D Larlus, A Vedaldi
Proceedings of the IEEE International Conference on Computer Vision, 2017
682017
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
582017
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
452018
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
392021
Pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
242020
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
212020
I have seen enough: Transferring parts across categories
D Novotny, D Larlus, A Vedaldi
British Machine Vision Conference, 2016
212016
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
192020
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
172021
Correlated uncertainty for learning dense correspondences from noisy labels
N Neverova, D Novotny, A Vedaldi
Advances in Neural Information Processing Systems 32, 2019
172019
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
122021
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
112020
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
112019
Learning the structure of objects from web supervision
D Novotny, D Larlus, A Vedaldi
European Conference on Computer Vision, 218-235, 2016
112016
Discovering relationships between object categories via universal canonical maps
N Neverova, A Sanakoyeu, P Labatut, D Novotny, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
102021
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
Joint object and object part detection using web supervision
D Novotny, DL Larrondo, A Vedaldi
US Patent App. 15/151,856, 2017
92017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20