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06/02/2023
Two-View Geometry Scoring Without Correspondences
Camera pose estimation for two-view geometry traditionally relies on RAN...
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05/23/2023
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes using RGB and Poses
Learning-based visual relocalizers exhibit leading pose accuracy, but re...
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02/25/2023
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects
We present the evaluation methodology, datasets and results of the BOP C...
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10/11/2022
Map-free Visual Relocalization: Metric Pose Relative to a Single Image
Can we relocalize in a scene represented by a single reference image? St...
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09/01/2021
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation
Benchmark datasets that measure camera pose accuracy have driven progres...
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05/05/2021
Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
Humans perceive and construct the surrounding world as an arrangement of...
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09/15/2020
BOP Challenge 2020 on 6D Object Localization
This paper presents the evaluation methodology, datasets, and results of...
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02/27/2020
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
We describe a learning-based system that estimates the camera position a...
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01/08/2020
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
We present a robust estimator for fitting multiple parametric models of ...
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12/02/2019
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
We address a core problem of computer vision: Detection and description ...
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08/07/2019
Expert Sample Consensus Applied to Camera Re-Localization
Fitting model parameters to a set of noisy data points is a common probl...
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05/10/2019
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
We present Neural-Guided RANSAC (NG-RANSAC), an extension to the classic...
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08/24/2018
BOP: Benchmark for 6D Object Pose Estimation
We propose a benchmark for 6D pose estimation of a rigid object from a s...
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12/05/2017
The Best of Both Worlds: Learning Geometry-based 6D Object Pose Estimation
We address the task of estimating the 6D pose of known rigid objects, fr...
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11/28/2017
Learning Less is More - 6D Camera Localization via 3D Surface Regression
Popular research areas like autonomous driving and augmented reality hav...
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12/12/2016
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning
State-of-the-art computer vision algorithms often achieve efficiency by ...
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12/07/2016
Global Hypothesis Generation for 6D Object Pose Estimation
This paper addresses the task of estimating the 6D pose of a known 3D ob...
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11/17/2016
DSAC - Differentiable RANSAC for Camera Localization
RANSAC is an important algorithm in robust optimization and a central bu...
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09/19/2016
