Követés
David Novotny
David Novotny
Facebook AI Research
E-mail megerősítve itt: robots.ox.ac.uk
Cím
Hivatkozott rá
Hivatkozott rá
Év
Accelerating 3d deep learning with pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
arXiv preprint arXiv:2007.08501, 2020
7452020
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
3242021
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
1232019
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
1122022
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
1072018
Learning 3D Object Categories by Looking Around Them
D Novotny, D Larlus, A Vedaldi
Proceedings of the IEEE International Conference on Computer Vision, 2017
842017
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
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
752018
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
722023
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
702017
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
692020
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
602021
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
592021
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
542020
Pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
Pytorch3d, 2020
352020
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
332023
Correlated uncertainty for learning dense correspondences from noisy labels
N Neverova, D Novotny, A Vedaldi
Advances in Neural Information Processing Systems 32, 2019
302019
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
212019
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
192021
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