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08/21/2023
Polarimetric Information for Multi-Modal 6D Pose Estimation of Photometrically Challenging Objects with Limited Data
6D pose estimation pipelines that rely on RGB-only or RGB-D data show li...
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08/21/2023
Multi-Modal Dataset Acquisition for Photometrically Challenging Object
This paper addresses the limitations of current datasets for 3D vision t...
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03/26/2023
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
Learning-based methods to solve dense 3D vision problems typically train...
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12/20/2022
HouseCat6D – A Large-Scale Multi-Modal Category Level 6D Object Pose Dataset with Household Objects in Realistic Scenarios
Estimating the 6D pose of objects is one of the major fields in 3D compu...
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05/09/2022
Is my Depth Ground-Truth Good Enough? HAMMER – Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression
Depth estimation is a core task in 3D computer vision. Recent methods in...
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01/24/2022
Towards Remote Robotic Competitions: An Internet-Connected Task Board and Dashboard
In this work we present a platform to assess robot platform skills using...
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12/22/2021
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Learnable keypoint detectors and descriptors are beginning to outperform...
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12/07/2021
Polarimetric Pose Prediction
Light has many properties that can be passively measured by vision senso...
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10/15/2021
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Inferring geometrically consistent dense 3D scenes across a tuple of tem...
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07/31/2020
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching
Feature based visual odometry and SLAM methods require accurate and fast...
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04/05/2018
