1 citations · 2 across the 2 of their papers we have counts for
4 papers
Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
Zhiyuan Yu, Zheng Qin, Lintao Zheng +1
Multi-instance point cloud registration estimates the poses of multiple instances of a model point cloud in a scene point cloud. Extracting accurate point correspondence is to the…
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation
Yuhang Huang, Zheng Qin, Xinwang Liu +1
Recent studies have demonstrated that the forward diffusion process is crucial for the effectiveness of diffusion models in terms of generative quality and sampling efficiency. We…
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
Zheng Qin, Hao Yu, Changjian Wang +2
We study the problem of outlier correspondence pruning for non-rigid point cloud registration. In rigid registration, spatial consistency has been a commonly used criterion to disc…
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
Zhirui Gao, Renjiao Yi, Zheng Qin +3
Template matching is a fundamental task in computer vision and has been studied for decades. It plays an essential role in manufacturing industry for estimating the poses of differ…