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Tomas Jakab
Tomas Jakab
PhD Student, VGG, University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Unsupervised Learning of Object Landmarks through Conditional Image Generation
T Jakab, A Gupta, H Bilen, A Vedaldi
Advances in Neural Information Processing Systems 31, 2018
2802018
Self-supervised learning of interpretable keypoints from unlabelled videos
T Jakab, A Gupta, H Bilen, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
99*2020
Keypointdeformer: Unsupervised 3d keypoint discovery for shape control
T Jakab, R Tucker, A Makadia, J Wu, N Snavely, A Kanazawa
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
542021
Dove: Learning deformable 3d objects by watching videos
S Wu, T Jakab, C Rupprecht, A Vedaldi
International Journal of Computer Vision 131 (10), 2623-2634, 2023
512023
Magicpony: Learning articulated 3d animals in the wild
S Wu, R Li, T Jakab, C Rupprecht, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
462023
Farm3d: Learning articulated 3d animals by distilling 2d diffusion
T Jakab, R Li, S Wu, C Rupprecht, A Vedaldi
arXiv preprint arXiv:2304.10535, 2023
132023
Learning the 3D Fauna of the Web
Z Li, D Litvak, R Li, Y Zhang, T Jakab, C Rupprecht, S Wu, A Vedaldi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
52024
Scene-Conditional 3D Object Stylization and Composition
J Zhou, T Jakab, P Torr, C Rupprecht
arXiv preprint arXiv:2312.12419, 2023
2023
Calibrated Uncertainties for Neural Radiance Fields
N Amini-Naieni, T Jakab, A Vedaldi, R Clark
arXiv preprint arXiv:2312.02350, 2023
2023
Self-supervised learning of structural representations of visual objects
T Jakab
University of Oxford, 2021
2021
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Articles 1–10