61 citations · 61 across the 3 of their papers we have counts for
3 papers
cs.CV2026
DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation
Yifan Gao, Lu Zou, Zhangjin Huang +1
Category-level 6D object pose estimation is typically formulated as a multi-category joint learning problem with fully shared model parameters. However, pronounced geometric hetero…
cs.CV2025
Instance-Adaptive Keypoint Learning with Local-to-Global Geometric Aggregation for Category-Level Object Pose Estimation
Xiao Zhang, Lu Zou, Tao Lu +3
Category-level object pose estimation aims to predict the 6D pose and size of previously unseen instances from predefined categories, requiring strong generalization across diverse…
cs.CV2021★ 61 cited
6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning
Lu Zou, Zhangjin Huang, Naijie Gu +1
This paper presents 6D-ViT, a transformer-based instance representation learning network, which is suitable for highly accurate category-level object pose estimation on RGB-D image…