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Frederik Warburg
Frederik Warburg
Teton.ai
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Zitiert von
Zitiert von
Jahr
K-planes: Explicit radiance fields in space, time, and appearance
S Fridovich-Keil, G Meanti, FR Warburg, B Recht, A Kanazawa
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1912023
Mapillary street-level sequences: A dataset for lifelong place recognition
F Warburg, S Hauberg, M Lopez-Antequera, P Gargallo, Y Kuang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1522020
Bayesian triplet loss: Uncertainty quantification in image retrieval
F Warburg, M Jørgensen, J Civera, S Hauberg
Proceedings of the IEEE/CVF International conference on Computer Vision …, 2021
312021
Nerfbusters: Removing ghostly artifacts from casually captured nerfs
F Warburg, E Weber, M Tancik, A Holynski, A Kanazawa
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
252023
Volumetric disentanglement for 3d scene manipulation
S Benaim, F Warburg, PE Christensen, S Belongie
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
82024
Probabilistic spatial transformer networks
P Schwöbel, FR Warburg, M Jørgensen, KH Madsen, S Hauberg
Uncertainty in Artificial Intelligence, 1749-1759, 2022
72022
Danish airs and grounds: A dataset for aerial-to-street-level place recognition and localization
A Vallone, F Warburg, H Hansen, S Hauberg, J Civera
IEEE Robotics and Automation Letters 7 (4), 9207-9214, 2022
72022
Self-supervised depth completion for active stereo
F Warburg, D Hernandez-Juarez, J Tarrio, A Vakhitov, U Bonde, ...
IEEE Robotics and Automation Letters 7 (2), 3475-3482, 2022
62022
Stochman
NS Detlefsen, A Pouplin, CW Feldager, C Geng, D Kalatzis, H Hauschultz, ...
GitHub. Note: https://github. com/MachineLearningLifeScience/stochman 3, 4, 2021
52021
Laplacian autoencoders for learning stochastic representations
M Miani, F Warburg, P Moreno-Muñoz, N Skafte, S Hauberg
Advances in Neural Information Processing Systems 35, 21059-21072, 2022
32022
Sparseformer: Attention-based depth completion network
F Warburg, M Ramamonjisoa, M López-Antequera
arXiv preprint arXiv:2206.04557, 2022
32022
Intensity mapping for mask projection based photopolymerization
F Warburg, MM Ribo, A Luongo, AH Danielak, DB Pedersen
2018 ASPE and euspen Summer Topical Meeting: Advancing Precision in Additive …, 2018
32018
Searching for structure in unfalsifiable claims
PE Christensen, F Warburg, M Jia, S Belongie
arXiv preprint arXiv:2209.00495, 2022
22022
Learning to taste: A multimodal wine dataset
T Bender, S Sørensen, A Kashani, K Eldjarn Hjorleifsson, G Hyldig, ...
Advances in Neural Information Processing Systems 36, 2024
12024
Bayesian metric learning for uncertainty quantification in image retrieval
F Warburg, M Miani, S Brack, S Hauberg
Advances in Neural Information Processing Systems 36, 2024
12024
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features
J Tirado-Garín, F Warburg, J Civera
arXiv preprint arXiv:2305.12250, 2023
12023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
K Zepf, S Wanna, M Miani, J Moore, J Frellsen, S Hauberg, A Feragen, ...
arXiv preprint arXiv:2303.13123, 2023
12023
Probabilistic 3D Reconstruction
FR Warburg
Technical University of Denmark, 2023
2023
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