Media Summary: Authors: Guowei Li (SIMIT); Dongchen Zhu (SIMIT); Guanghui Zhang (SIMIT); Wenjun Shi (SIMIT); Tianyu Zhang (SIMIT); Xiaolin ... Authors: Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song Description: This paper addresses the ... SOCS: Semantically-Aware Object Coordinate Space for

Category Level 6d Pose Estimation - Detailed Analysis & Overview

Authors: Guowei Li (SIMIT); Dongchen Zhu (SIMIT); Guanghui Zhang (SIMIT); Wenjun Shi (SIMIT); Tianyu Zhang (SIMIT); Xiaolin ... Authors: Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song Description: This paper addresses the ... SOCS: Semantically-Aware Object Coordinate Space for To improve the accuracy of the estimated pose, state-of-the-art approaches in In this demo, we show the qualitative performance of our proposed method from the paper "DC- Authors: Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu Description: We present a novel approach to

Supplementary video for paper "BundleTrack:

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Category-Level 6D Pose Estimation
SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the S
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion
Category-Level Articulated Object Pose Estimation
SOCS: Semantically-Aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under
[ICRA 2020] 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
ICRA 2023:Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of Inhand Objects
A Category-Level 6D Pose Estimation Method Based on Dual Feature Fusion and Channel Attention
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images (ECCV 2024)
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
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Category-Level 6D Pose Estimation

Category-Level 6D Pose Estimation

The

SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation

SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation

Authors: Guowei Li (SIMIT); Dongchen Zhu (SIMIT); Guanghui Zhang (SIMIT); Wenjun Shi (SIMIT); Tianyu Zhang (SIMIT); Xiaolin ...

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the S

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the S

VI-Net: Boosting

GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion

GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion

This paper tackles the task of

Category-Level Articulated Object Pose Estimation

Category-Level Articulated Object Pose Estimation

Authors: Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song Description: This paper addresses the ...

SOCS: Semantically-Aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under

SOCS: Semantically-Aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under

SOCS: Semantically-Aware Object Coordinate Space for

[ICRA 2020] 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints

[ICRA 2020] 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints

6-PACK:

ICRA 2023:Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of Inhand Objects

ICRA 2023:Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of Inhand Objects

To improve the accuracy of the estimated pose, state-of-the-art approaches in

A Category-Level 6D Pose Estimation Method Based on Dual Feature Fusion and Channel Attention

A Category-Level 6D Pose Estimation Method Based on Dual Feature Fusion and Channel Attention

In this demo, we show the qualitative performance of our proposed method from the paper "DC-

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images (ECCV 2024)

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images (ECCV 2024)

Category

Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation

Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation

Authors: Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu Description: We present a novel approach to

BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

Supplementary video for paper "BundleTrack:

6D Pose Estimation WITHOUT MARKERS for 3D Object Detection via FoundationPose & EfficientPose

6D Pose Estimation WITHOUT MARKERS for 3D Object Detection via FoundationPose & EfficientPose

0:00 Introduction 0:51 What is