61 citations · 85 across the 4 of their papers we have counts for
4 papers
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…
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization
Zhihao Liang, Zhangjin Huang, Changxing Ding +1
Recovery of an underlying scene geometry from multiview images stands as a long-time challenge in computer vision research. The recent promise leverages neural implicit surface lea…
Surface Reconstruction from Point Clouds: A Survey and a Benchmark
Zhangjin Huang, Yuxin Wen, Zihao Wang +2
Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete point cloud observation is a long-standing problem. The problem is technically ill-posed,…
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…