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08/19/2023
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
Most self-supervised 6D object pose estimation methods can only work wit...
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06/23/2023
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
Most recent 6D object pose methods use 2D optical flow to refine their r...
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03/23/2023
NOPE: Novel Object Pose Estimation from a Single Image
The practicality of 3D object pose estimation remains limited for many a...
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03/22/2023
Rigidity-Aware Detection for 6D Object Pose Estimation
Most recent 6D object pose estimation methods first use object detection...
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03/21/2023
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
Most modern image-based 6D object pose estimation methods learn to predi...
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03/12/2023
Module-Wise Network Quantization for 6D Object Pose Estimation
Many edge applications, such as collaborative robotics and spacecraft re...
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11/29/2022
Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation
We present a new method which provides object location priors for previo...
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05/30/2022
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment
Knowledge distillation facilitates the training of a compact student net...
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03/31/2022
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
We present a method that can recognize new objects and estimate their 3D...
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03/18/2022
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
Most recent 6D object pose estimation methods, including unsupervised on...
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03/16/2022
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects
In this paper, we tackle the task of estimating the 3D orientation of pr...
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04/08/2021
Robust Differentiable SVD
Eigendecomposition of symmetric matrices is at the heart of many compute...
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04/01/2021
Wide-Depth-Range 6D Object Pose Estimation in Space
6D pose estimation in space poses unique challenges that are not commonl...
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08/19/2020
Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations
While much progress has been made in 6-DoF object pose estimation from a...
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04/15/2020
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
Many classical Computer Vision problems, such as essential matrix comput...
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11/19/2019
Single-Stage 6D Object Pose Estimation
Most recent 6D pose estimation frameworks first rely on a deep network t...
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06/21/2019
Backpropagation-Friendly Eigendecomposition
Eigendecomposition (ED) is widely used in deep networks. However, the ba...
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12/06/2018
Segmentation-driven 6D Object Pose Estimation
The most recent trend in estimating the 6D pose of rigid objects has bee...
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03/21/2018