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2020 – today
- 2024
[c11]Javier Tirado-Garín, Frederik Warburg, Javier Civera:
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features. 3DV 2024: 728-738- [c10]Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen:
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. MICCAI (8) 2024: 349-359 - [c9]Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie:
Volumetric Disentanglement for 3D Scene Manipulation. WACV 2024: 8652-8662 - [i15]Ethan Weber, Riley Peterlinz, Rohan Mathur, Frederik Warburg, Alexei A. Efros, Angjoo Kanazawa:
Toon3D: Seeing Cartoons from a New Perspective. CoRR abs/2405.10320 (2024) - 2023
- [c8]Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CVPR 2023: 12479-12488 - [c7]Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa:
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. ICCV 2023: 18074-18084 - [c6]Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg:
Learning to Taste: A Multimodal Wine Dataset. NeurIPS 2023 - [c5]Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg:
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. NeurIPS 2023 - [i14]Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR abs/2301.10241 (2023) - [i13]Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg:
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. CoRR abs/2302.01332 (2023) - [i12]Kilian Zepf, Selma Wanna
, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg:
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty. CoRR abs/2303.13123 (2023) - [i11]Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa:
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. CoRR abs/2304.10532 (2023) - [i10]Javier Tirado-Garín, Frederik Warburg, Javier Civera:
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features. CoRR abs/2305.12250 (2023) - [i9]Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg:
Learning to Taste: A Multimodal Wine Dataset. CoRR abs/2308.16900 (2023) - 2022
- [j2]Frederik Warburg, Daniel Hernández Juárez, Juan Tarrio, Alexander Vakhitov, Ujwal Bonde, Pablo F. Alcantarilla:
Self-Supervised Depth Completion for Active Stereo. IEEE Robotics Autom. Lett. 7(2): 3475-3482 (2022) - [j1]Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera:
Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization. IEEE Robotics Autom. Lett. 7(4): 9207-9215 (2022) - [c4]Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg:
Laplacian Autoencoders for Learning Stochastic Representations. NeurIPS 2022 - [c3]Pola Schwöbel, Frederik Rahbæk Warburg, Martin Jørgensen, Kristoffer Hougaard Madsen, Søren Hauberg:
Probabilistic spatial transformer networks. UAI 2022: 1749-1759 - [i8]Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera:
Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization. CoRR abs/2202.01821 (2022) - [i7]Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie:
Volumetric Disentanglement for 3D Scene Manipulation. CoRR abs/2206.02776 (2022) - [i6]Frederik Warburg, Michaël Ramamonjisoa, Manuel López-Antequera:
SparseFormer: Attention-based Depth Completion Network. CoRR abs/2206.04557 (2022) - [i5]Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg:
Laplacian Autoencoders for Learning Stochastic Representations. CoRR abs/2206.15078 (2022) - [i4]Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie:
Searching for Structure in Unfalsifiable Claims. CoRR abs/2209.00495 (2022) - 2021
- [c2]Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg:
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. ICCV 2021: 12138-12148 - [i3]Frederik Warburg, Daniel Hernández Juárez, Juan Tarrio, Alexander Vakhitov, Ujwal Bonde, Pablo F. Alcantarilla:
Self-Supervised Depth Completion for Active Stereo. CoRR abs/2110.03234 (2021) - 2020
- [c1]Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera:
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. CVPR 2020: 2623-2632 - [i2]Pola Schwöbel, Frederik Warburg, Martin Jørgensen, Kristoffer H. Madsen, Søren Hauberg:
Probabilistic Spatial Transformers for Bayesian Data Augmentation. CoRR abs/2004.03637 (2020) - [i1]Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg:
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. CoRR abs/2011.12663 (2020)
Coauthor Index
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