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08/31/2023
Learning to Taste: A Multimodal Wine Dataset
We present WineSensed, a large multimodal wine dataset for studying the ...
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05/20/2023
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features
Current deep visual local feature detectors do not model the spatial unc...
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04/20/2023
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
Casually captured Neural Radiance Fields (NeRFs) suffer from artifacts s...
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03/23/2023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
Out of distribution (OOD) medical images are frequently encountered, e.g...
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02/02/2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
We propose the first Bayesian encoder for metric learning. Rather than r...
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01/24/2023
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
We introduce k-planes, a white-box model for radiance fields in arbitrar...
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08/19/2022
Searching for Structure in Unfalsifiable Claims
Social media platforms give rise to an abundance of posts and comments o...
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06/30/2022
Laplacian Autoencoders for Learning Stochastic Representations
Established methods for unsupervised representation learning such as var...
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06/09/2022
SparseFormer: Attention-based Depth Completion Network
Most pipelines for Augmented and Virtual Reality estimate the ego-motion...
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06/06/2022
Volumetric Disentanglement for 3D Scene Manipulation
Recently, advances in differential volumetric rendering enabled signific...
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02/03/2022
Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization
Place recognition and visual localization are particularly challenging i...
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10/07/2021
Self-Supervised Depth Completion for Active Stereo
Active stereo systems are widely used in the robotics industry due to th...
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11/25/2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Uncertainty quantification in image retrieval is crucial for downstream ...
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04/07/2020