| 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 | 341 | 2023 |
| 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 | 199 | 2020 |
| 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 | 40 | 2023 |
| 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 | 35 | 2021 |
| 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 | 11 | 2024 |
| 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 | 11 | 2022 |
| 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 | 10 | 2022 |
| Probabilistic spatial transformer networks P Schwöbel, FR Warburg, M Jørgensen, KH Madsen, S Hauberg Uncertainty in Artificial Intelligence, 1749-1759, 2022 | 9 | 2022 |
| Bayesian metric learning for uncertainty quantification in image retrieval F Warburg, M Miani, S Brack, S Hauberg Advances in Neural Information Processing Systems 36, 69178-69190, 2023 | 6 | 2023 |
| 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 | 6 | 2022 |
| Sparseformer: Attention-based depth completion network F Warburg, M Ramamonjisoa, M López-Antequera arXiv preprint arXiv:2206.04557, 2022 | 5 | 2022 |
| Stochman NS Detlefsen, A Pouplin, CW Feldager, C Geng, D Kalatzis, H Hauschultz, ... GitHub. Note: https://github. com/MachineLearningLifeScience/stochman 3, 4, 2021 | 5 | 2021 |
| 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 | 4 | 2018 |
| 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 | 2 | 2024 |
| 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 | 2 | 2023 |
| Searching for structure in unfalsifiable claims PE Christensen, F Warburg, M Jia, S Belongie arXiv preprint arXiv:2209.00495, 2022 | 2 | 2022 |
| DAC: Detector-Agnostic Spatial Covariances for Deep Local Features J Tirado-Garín, F Warburg, J Civera 2024 International Conference on 3D Vision (3DV), 728-738, 2024 | 1 | 2024 |
| Toon3D: Seeing Cartoons from a New Perspective E Weber, R Peterlinz, R Mathur, F Warburg, AA Efros, A Kanazawa arXiv preprint arXiv:2405.10320, 2024 | | 2024 |
| Probabilistic 3D Reconstruction FR Warburg Technical University of Denmark, 2023 | | 2023 |
Søren HaubergCognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
