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08/16/2023
DeDoDe: Detect, Don't Describe – Describe, Don't Detect for Local Feature Matching
Keypoint detection is a pivotal step in 3D reconstruction, whereby sets ...
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05/26/2023
Investigating how ReLU-networks encode symmetries
Many data symmetries can be described in terms of group equivariance and...
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05/24/2023
RoMa: Revisiting Robust Losses for Dense Feature Matching
Dense feature matching is an important computer vision task that involve...
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09/29/2022
In Search of Projectively Equivariant Neural Networks
Equivariance of linear neural network layers is well studied. In this wo...
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04/21/2022
A case for using rotation invariant features in state of the art feature matchers
The aim of this paper is to demonstrate that a state of the art feature ...
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01/31/2022
Rigidity Preserving Image Transformations and Equivariance in Perspective
We characterize the class of image plane transformations which realize r...
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11/30/2021
