Frederik Warburg

26 papers A* 6A 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	DAC: Detector-Agnostic Spatial Covariances for Deep Local Features. 3DV Javier Tirado-Garín, Frederik Warburg, Javier Civera
2024	—	`conf`	Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. MICCAI (8) Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen
2024	J	`jnl`	Toon3D: Seeing Cartoons from a New Perspective. CoRR Ethan Weber, Riley Peterlinz, Rohan Mathur, Frederik Warburg, Alexei A. Efros, Angjoo Kanazawa
2024	A	`conf`	Volumetric Disentanglement for 3D Scene Manipulation. WACV Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
2023	A*	`conf`	Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. NeurIPS Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg
2023	J	`jnl`	Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. CoRR Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg
2023	J	`jnl`	DAC: Detector-Agnostic Spatial Covariances for Deep Local Features. CoRR Javier Tirado-Garín, Frederik Warburg, Javier Civera
2023	J	`jnl`	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa
2023	J	`jnl`	Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty. CoRR Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg
2023	A*	`conf`	Learning to Taste: A Multimodal Wine Dataset. NeurIPS Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg
2023	J	`jnl`	Learning to Taste: A Multimodal Wine Dataset. CoRR Thoranna Bender, Simon Møe Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge J. Belongie, Frederik Warburg
2023	A*	`conf`	Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. ICCV Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa
2023	J	`jnl`	Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. CoRR Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa
2022	J	`jnl`	Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization. CoRR Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera
2022	J	`jnl`	Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization. IEEE Robotics Autom. Lett. Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera
2022	A*	`conf`	Laplacian Autoencoders for Learning Stochastic Representations. NeurIPS Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
2022	J	`jnl`	Laplacian Autoencoders for Learning Stochastic Representations. CoRR Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
2022	J	`jnl`	Searching for Structure in Unfalsifiable Claims. CoRR Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie
2022	J	`jnl`	Self-Supervised Depth Completion for Active Stereo. IEEE Robotics Autom. Lett. Frederik Warburg, Daniel Hernández Juárez, Juan Tarrio, Alexander Vakhitov, Ujwal Bonde, Pablo F. Alcantarilla
2022	J	`jnl`	SparseFormer: Attention-based Depth Completion Network. CoRR Frederik Warburg, Michaël Ramamonjisoa, Manuel López-Antequera
2022	J	`jnl`	Volumetric Disentanglement for 3D Scene Manipulation. CoRR Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
2021	A*	`conf`	Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. ICCV Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg
2021	J	`jnl`	Self-Supervised Depth Completion for Active Stereo. CoRR Frederik Warburg, Daniel Hernández Juárez, Juan Tarrio, Alexander Vakhitov, Ujwal Bonde, Pablo F. Alcantarilla
2020	J	`jnl`	Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. CoRR Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg
2020	A*	`conf`	Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. CVPR Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera
2020	J	`jnl`	Probabilistic Spatial Transformers for Bayesian Data Augmentation. CoRR Pola Schwöbel, Frederik Warburg, Martin Jørgensen, Kristoffer H. Madsen, Søren Hauberg