1 citations · 1 across the 7 of their papers we have counts for
8 papers
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation
Yang Zou, Zhaoshuai Qi, Yating Liu +6
Object pose estimation, which plays a vital role in robotics, augmented reality, and autonomous driving, has been of great interest in computer vision. Existing studies either requ…
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
Xiyu Zhang, Jiayi Ma, Jianwei Guo +5
Geometric constraints between feature matches are critical in 3D point cloud registration problems. Existing approaches typically model unordered matches as a consistency graph and…
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
Ziming Nie, Qiao Wu, Chenlei Lv +4
Point cloud upsampling aims to generate dense and uniformly distributed point sets from sparse point clouds. Existing point cloud upsampling methods typically approach the task as…
Indoor 3D Reconstruction with an Unknown Camera-Projector Pair
Zhaoshuai Qi, Yifeng Hao, Rui Hu +3
Structured light-based method with a camera-projector pair (CPP) plays a vital role in indoor 3D reconstruction, especially for scenes with weak textures. Previous methods usually…
Instance by Instance: An Iterative Framework for Multi-instance 3D Registration
Xinyue Cao, Xiyu Zhang, Yuxin Cheng +3
Multi-instance registration is a challenging problem in computer vision and robotics, where multiple instances of an object need to be registered in a standard coordinate system. I…
Learning multi-domain feature relation for visible and Long-wave Infrared image patch matching
Xiuwei Zhang, Yanping Li, Zhaoshuai Qi +2
Recently, learning-based algorithms have achieved promising performance on cross-spectral image patch matching, which, however, is still far from satisfactory for practical applica…