E-LIB Suche - Ergebnisse für: Warburg, Frederik

1

Volumetric Disentanglement for 3D Scene Manipulation:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Benaim, Sagie ; Warburg, Frederik ; Christensen, Peter Ebert. - p. 8652-8662 , 2024

Link: https://doi.org/10.1109/..

2

DAC: Detector-Agnostic Spatial Covariances for Deep Local F..:

, In: 2024 International Conference on 3D Vision (3DV),

Tirado-Garin, Javier ; Warburg, Frederik ; Civera, Javier - p. 728-738 , 2024

Link: https://doi.org/10.1109/..

3

Nerfbusters: Removing Ghostly Artifacts from Casually Captu..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),

Warburg, Frederik ; Weber, Ethan ; Tancik, Matthew.. - p. 18074-18084 , 2023

Link: https://doi.org/10.1109/..

4

Danish Airs and Grounds: A Dataset for Aerial-to-Street-Lev..:

Vallone, Andrea ; Warburg, Frederik ; Hansen, Hans..
IEEE Robotics and Automation Letters. 7 (2022) 4 - p. 9207-9214 , 2022

Link: https://doi.org/10.1109/..

5

Self-Supervised Depth Completion for Active Stereo:

Warburg, Frederik ; Hernandez-Juarez, Daniel ; Tarrio, Juan...
IEEE Robotics and Automation Letters. 7 (2022) 2 - p. 3475-3482 , 2022

Link: https://doi.org/10.1109/..

6

Bayesian Triplet Loss: Uncertainty Quantification in Image ..:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),

Warburg, Frederik ; Jorgensen, Martin ; Civera, Javier. - p. 12138-12148 , 2021

Link: https://doi.org/10.1109/..

7

Mapillary Street-Level Sequences: A Dataset for Lifelong Pl..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Warburg, Frederik ; Hauberg, Soren ; Lopez-Antequera, Manuel... - p. 2623-2632 , 2020

Link: https://doi.org/10.1109/..

8

K-Planes: Explicit Radiance Fields in Space, Time, and Appe..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Fridovich-Keil, Sara ; Meanti, Giacomo ; Warburg, Frederik Rahbaek.. - p. 12479-12488 , 2023

Link: https://doi.org/10.1109/..

9

Nerfbusters: Removing Ghostly Artifacts from Casually Captu..:

Warburg, Frederik ; Weber, Ethan ; Tancik, Matthew..
http://arxiv.org/abs/2304.10532. , 2023

Link: http://arxiv.org/abs/230..

10

DAC: Detector-Agnostic Spatial Covariances for Deep Local F..:

Tirado-Garín, Javier ; Warburg, Frederik ; Civera, Javier
http://arxiv.org/abs/2305.12250. , 2023

Link: http://arxiv.org/abs/230..

11

Learning to Taste: A Multimodal Wine Dataset:

Bender, Thoranna ; Sørensen, Simon Moe ; Kashani, Alireza...
http://arxiv.org/abs/2308.16900. , 2023

Link: http://arxiv.org/abs/230..

12

K-Planes: Explicit Radiance Fields in Space, Time, and Appe..:

Fridovich-Keil, Sara ; Meanti, Giacomo ; Warburg, Frederik..
http://arxiv.org/abs/2301.10241. , 2023

Link: http://arxiv.org/abs/230..

13

Laplacian Segmentation Networks: Improved Epistemic Uncerta..:

Zepf, Kilian ; Wanna, Selma ; Miani, Marco...
http://arxiv.org/abs/2303.13123. , 2023

Link: http://arxiv.org/abs/230..

14

Bayesian Metric Learning for Uncertainty Quantification in ..:

Warburg, Frederik ; Miani, Marco ; Brack, Silas.
http://arxiv.org/abs/2302.01332. , 2023

Link: http://arxiv.org/abs/230..

15

Laplacian Autoencoders for Learning Stochastic Representati..:

Miani, Marco ; Warburg, Frederik ; Moreno-Muñoz, Pablo..
Miani , M , Warburg , F , Moreno-Muñoz , P , Detlefsen , N S & Hauberg , S 2022 , Laplacian Autoencoders for Learning Stochastic Representations . in Proceedings of 36 th Conference on Neural Information Processing Systems . 2022 Conference on Neural Information Processing Systems , New Orleans , Louisiana , United States , 28/11/2022 .. , 2022

Link: https://orbit.dtu.dk/en/..