Frederik Warburg

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Coordinate Frame

Mahalanobis Metric

Dempster Shafer

Image Retrieval

Top Venues

IEEE Robotics Autom. Lett.

Publications

Ethan Weber, Riley Peterlinz, Rohan Mathur, Frederik Warburg, Alexei A. Efros, Angjoo Kanazawa
Toon3D: Seeing Cartoons from a New Perspective. CoRR (2024)
Javier Tirado-Garín, Frederik Warburg, Javier Civera
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features. 3DV (2024)
Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
Volumetric Disentanglement for 3D Scene Manipulation. WACV (2024)
Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. NeurIPS (2023)
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)
Javier Tirado-Garín, Frederik Warburg, Javier Civera
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features. CoRR (2023)
Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. CoRR (2023)
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 (2023)
Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR (2023)
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 (2023)
Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. ICCV (2023)
Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. CoRR (2023)
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
Laplacian Autoencoders for Learning Stochastic Representations. NeurIPS (2022)
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) (2022)
Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
Volumetric Disentanglement for 3D Scene Manipulation. CoRR (2022)
Frederik Warburg, Michaël Ramamonjisoa, Manuel López-Antequera
SparseFormer: Attention-based Depth Completion Network. CoRR (2022)
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
Laplacian Autoencoders for Learning Stochastic Representations. CoRR (2022)
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 (2022)
Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie
Searching for Structure in Unfalsifiable Claims. CoRR (2022)
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) (2022)
Frederik Warburg, Daniel Hernández Juárez, Juan Tarrio, Alexander Vakhitov, Ujwal Bonde, Pablo F. Alcantarilla
Self-Supervised Depth Completion for Active Stereo. CoRR (2021)
Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. ICCV (2021)
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)
Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. CoRR (2020)
Pola Schwöbel, Frederik Warburg, Martin Jørgensen, Kristoffer H. Madsen, Søren Hauberg
Probabilistic Spatial Transformers for Bayesian Data Augmentation. CoRR (2020)