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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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08/18/2023
Robust Monocular Depth Estimation under Challenging Conditions
While state-of-the-art monocular depth estimation approaches achieve imp...
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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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09/26/2022
MonoGraspNet: 6-DoF Grasping with a Single RGB Image
6-DoF robotic grasping is a long-lasting but unsolved problem. Recent me...
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05/18/2022
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects
Object pose estimation is crucial for robotic applications and augmented...
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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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12/07/2021
Polarimetric Pose Prediction
Light has many properties that can be passively measured by vision senso...
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12/07/2021
