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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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05/24/2023
Deep Equivariant Hyperspheres
This paper presents an approach to learning nD features equivariant unde...
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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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11/26/2022
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification
Rotation invariance is an important requirement for the analysis of 3D p...
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02/01/2022
Deep Kernelized Dense Geometric Matching
Dense geometric matching is a challenging computer vision task, requirin...
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03/15/2021
Trust Your IMU: Consequences of Ignoring the IMU Drift
In this paper, we argue that modern pre-integration methods for inertial...
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10/08/2020
Efficient Real-Time Radial Distortion Correction for UAVs
In this paper we present a novel algorithm for onboard radial distortion...
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06/11/2020
Embed Me If You Can: A Geometric Perceptron
Solving geometric tasks using machine learning is a challenging problem....
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03/16/2020