Frederik Warburg

According to our database, Frederik Warburg authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toon3D: Seeing Cartoons from a New Perspective.

Ethan Weber, Riley Peterlinz, Rohan Mathur, Frederik Warburg, Alexei A. Efros, Angjoo Kanazawa

CoRR, 2024

Volumetric Disentanglement for 3D Scene Manipulation.

Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification.

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Javier Tirado-Garín, Frederik Warburg, Javier Civera

Proceedings of the International Conference on 3D Vision, 2024

2023

Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty.

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg

CoRR, 2023

Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval.

Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Taste: A Multimodal Wine Dataset.

Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs.

Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-Supervised Depth Completion for Active Stereo.

Frederik Warburg, Daniel Hernández Juárez, Juan Tarrio, Alexander Vakhitov, Ujwal Bonde, Pablo F. Alcantarilla

IEEE Robotics Autom. Lett., 2022

Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization.

Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera

IEEE Robotics Autom. Lett., 2022

Searching for Structure in Unfalsifiable Claims.

Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie

CoRR, 2022

SparseFormer: Attention-based Depth Completion Network.

Frederik Warburg, Michaël Ramamonjisoa, Manuel López-Antequera

CoRR, 2022

Probabilistic spatial transformer networks.

Pola Schwöbel, Frederik Rahbæk Warburg, Martin Jørgensen, Kristoffer Hougaard Madsen, Søren Hauberg

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Laplacian Autoencoders for Learning Stochastic Representations.

Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval.

Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Probabilistic Spatial Transformers for Bayesian Data Augmentation.

Pola Schwöbel, Frederik Warburg, Martin Jørgensen, Kristoffer H. Madsen, Søren Hauberg

CoRR, 2020

Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition.

Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020