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08/30/2023
Learning Structure-from-Motion with Graph Attention Networks
In this paper we tackle the problem of learning Structure-from-Motion (S...
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06/02/2023
Adjustable Visual Appearance for Generalizable Novel View Synthesis
We present a generalizable novel view synthesis method where it is possi...
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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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05/08/2023
Privacy-Preserving Representations are not Enough – Recovering Scene Content from Camera Poses
Visual localization is the task of estimating the camera pose from which...
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01/24/2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Open-set semi-supervised learning (OSSL) is a realistic setting of semi-...
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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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05/11/2022
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Following the success of supervised learning, semi-supervised learning (...
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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
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
In this paper, we are concerned with rotation equivariance on 2D point c...
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09/09/2021
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization
Visual localization is the problem of estimating the position and orient...
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03/16/2021
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Camera pose estimation in known scenes is a 3D geometry task recently ta...
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03/08/2021
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
Visual localization is the problem of estimating the camera pose of a gi...
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01/06/2021
On the Tightness of Semidefinite Relaxations for Rotation Estimation
Why is it that semidefinite relaxations have been so successful in numer...
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08/21/2020
Single-Image Depth Prediction Makes Feature Matching Easier
Good local features improve the robustness of many 3D re-localization an...
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05/13/2020
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors
In recent years, considerable progress has been made for the task of rig...
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08/18/2019
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization
Long-term visual localization is the problem of estimating the camera po...
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06/19/2019
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
Three-dimensional object detection from a single view is a challenging t...
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03/16/2019
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
In this paper, we present a method to utilize 2D-2D point matches betwee...
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05/03/2017
Rotation Averaging and Strong Duality
In this paper we explore the role of duality principles within the probl...
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01/24/2017
Learning Arbitrary Pairwise Potentials in CRFs for Semantic Segmentation
Are we using the right potential functions in the Conditional Random Fie...
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10/14/2015
Multiresolution Search of the Rigid Motion Space for Intensity Based Registration
We study the relation between the target functions of low-resolution and...
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02/18/2011