Frederik Warburg

Orcid: 0000-0001-7602-9334

According to our database1, Frederik Warburg authored at least 16 papers between 2020 and 2024.

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Bibliography

2024
Volumetric Disentanglement for 3D Scene Manipulation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features.
CoRR, 2023

Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty.
CoRR, 2023

Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval.
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.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-Supervised Depth Completion for Active Stereo.
IEEE Robotics Autom. Lett., 2022

Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization.
IEEE Robotics Autom. Lett., 2022

Searching for Structure in Unfalsifiable Claims.
CoRR, 2022

SparseFormer: Attention-based Depth Completion Network.
CoRR, 2022

Probabilistic spatial transformer networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Laplacian Autoencoders for Learning Stochastic Representations.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Probabilistic Spatial Transformers for Bayesian Data Augmentation.
CoRR, 2020

Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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