David Novotny
David Novotny
Facebook AI Research
Verified email at robots.ox.ac.uk
Title
Cited by
Cited by
Year
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
662018
Learning 3D Object Categories by Looking Around Them
D Novotny, D Larlus, A Vedaldi
Proceedings of the IEEE International Conference on Computer Vision, 2017
582017
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
432017
Accelerating 3d deep learning with pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
arXiv preprint arXiv:2007.08501, 2020
422020
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
322019
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
322018
Pytorch3d
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
212020
I have seen enough: Transferring parts across categories
D Novotny, D Larlus, A Vedaldi
British Machine Vision Conference, 2016
172016
Learning the structure of objects from web supervision
D Novotny, D Larlus, A Vedaldi
European Conference on Computer Vision, 218-235, 2016
102016
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
82018
Understanding the fisher vector: a multimodal part model
D Novotný, D Larlus, F Perronnin, A Vedaldi
arXiv preprint arXiv:1504.04763, 2015
52015
Cascaded sparse spatial bins for efficient and effective generic object detection
D Novotny, J Matas
Proceedings of the IEEE International Conference on Computer Vision, 1152-1160, 2015
52015
Correlated uncertainty for learning dense correspondences from noisy labels
N Neverova, D Novotny, A Vedaldi
42019
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
42019
Joint object and object part detection using web supervision
D Novotny, DL Larrondo, A Vedaldi
US Patent App. 15/151,856, 2017
32017
Unsupervised Learning of 3D Object Categories from Videos in the Wild
P Henzler, J Reizenstein, P Labatut, R Shapovalov, T Ritschel, A Vedaldi, ...
arXiv preprint arXiv:2103.16552, 2021
12021
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
B Biggs, S Ehrhadt, H Joo, B Graham, A Vedaldi, D Novotny
arXiv preprint arXiv:2011.00980, 2020
12020
Continuous Surface Embeddings
N Neverova, D Novotny, V Khalidov, M Szafraniec, P Labatut, A Vedaldi
arXiv preprint arXiv:2011.12438, 2020
2020
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty
B Graham, D Novotny
arXiv preprint arXiv:2011.10359, 2020
2020
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
2020
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