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20232026
most citedHS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation

2 citations · 2 across the 9 of their papers we have counts for

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cs.CV2025

Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics

Tze Ho Elden Tse, Runyang Feng, Linfang Zheng +5

With the availability of egocentric 3D hand-object interaction datasets, there is increasing interest in developing unified models for hand-object pose estimation and action recogn…

cs.CV2024

Object Gaussian for Monocular 6D Pose Estimation from Sparse Views

Luqing Luo, Shichu Sun, Jiangang Yang +3

Monocular object pose estimation, as a pivotal task in computer vision and robotics, heavily depends on accurate 2D-3D correspondences, which often demand costly CAD models that ma…

cs.CV2024

GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement

Linfang Zheng, Tze Ho Elden Tse, Chen Wang +4

Object pose refinement is essential for robust object pose estimation. Previous work has made significant progress towards instance-level object pose refinement. Yet, category-leve…

cs.CV2023

Multi-Resolution Planar Region Extraction for Uneven Terrains

Yinghan Sun, Linfang Zheng, Hua Chen +1

This paper studies the problem of extracting planar regions in uneven terrains from unordered point cloud measurements. Such a problem is critical in various robotic applications s…

cs.CV2023★ 2 cited

HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation

Linfang Zheng, Chen Wang, Yinghan Sun +5

In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC)…