Introduction to Optimal And Robust Category Level Perception Pose And Shape Estimation From 2d3d Keypoints
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Robust 3D Human Pose Estimation Guided by Filtered Subsets of Body Keypoints
Category-Level Articulated Object Pose Estimation
RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery
ICRA 2020: Robust 6D Object Pose Estimation by Learning RGB-D Features
Toward Dynamic Physical–Virtual Perceptual Alignment on OST-HMDs Using Shadow-Boundary Halos
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
Learning to Rank 3D Features
ICRA 2023:Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of Inhand Objects
[BMVC 2021] Leveraging Geometry for Shape Estimation from a Single RGB Image
Structure-guided Ranking Loss for Single Image Depth Prediction (CVPR 2020)
[CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation (Virtual Presentation)
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Last Updated: October 4, 2026
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Summary
Multi-task inverse kinematics - input: 2d Authors: Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu Description: We present a novel approach to MVA 2019 paper Authors: A. Makris, A. Argyros. We propose a novel hybrid human 3D body Authors: Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song Description: This paper addresses the ... In this demo, we show the qualitative performance of our proposed method from the paper "RGB-based Paper: arxiv.org/abs/2003.00188 Source code: github.com/mentian/object-posenet. Standard optical see-through head-mounted displays (OST-HMDs) cannot locally attenuate real-world light, making consistent ... Authors: Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige Description: Representation of three dimensional objects using a set of oriented point pair features has been shown to be effective for object ... Citation: A. Rezazadeh, S. Dikhale, S. Iba and N. Jamali, "Hierarchical Graph Neural Networks for Proprioceptive 6D by Florian Langer, Ignas Budvytis and Roberto Cipolla University of Cambridge arXiv: arxiv.org/abs/2111.05615 code: ... The project page: kexianhust.github.io/Structure-Guided-Ranking-Loss/ Single image depth prediction is a challenging task ...
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