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David Novotny
David Novotny
Facebook AI Research
Verified email at robots.ox.ac.uk
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Cited by
Year
Accelerating 3d deep learning with pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
arXiv preprint arXiv:2007.08501, 2020
7582020
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
3362021
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
1212019
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
1142022
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
1082018
Learning 3D Object Categories by Looking Around Them
D Novotny, D Larlus, A Vedaldi
Proceedings of the IEEE International Conference on Computer Vision, 2017
862017
Holodiffusion: Training a 3d diffusion model using 2d images
A Karnewar, A Vedaldi, D Novotny, NJ Mitra
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
812023
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
772018
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
752020
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
712017
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
702020
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
642021
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
622021
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
602020
Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment
J Wang, C Rupprecht, D Novotny
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
372023
Pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
Pytorch3d, 2020
352020
Correlated uncertainty for learning dense correspondences from noisy labels
N Neverova, D Novotny, A Vedaldi
Advances in Neural Information Processing Systems 32, 2019
312019
I have seen enough: Transferring parts across categories
D Novotny, D Larlus, A Vedaldi
British Machine Vision Conference, 2016
232016
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
222019
Holofusion: Towards photo-realistic 3d generative modeling
A Karnewar, NJ Mitra, A Vedaldi, D Novotny
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
192023
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