59 citations · 167 across the 9 of their papers we have counts for
9 papers
SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation
Songlin Du, Xiaoyong Lu, Yaping Yan +3
Local feature matching plays a critical role in understanding the correspondence between cross-view images. However, traditional methods are constrained by the inherent local natur…
LLHA-Net: A Hierarchical Attention Network for Two-View Correspondence Learning
Shuyuan Lin, Yu Guo, Xiao Chen +3
Establishing the correct correspondence of feature points is a fundamental task in computer vision. However, the presence of numerous outliers among the feature points can signific…
Hierarchical Representation via Message Propagation for Robust Model Fitting
Shuyuan Lin, Xing Wang, Guobao Xiao +2
In this paper, we propose a novel hierarchical representation via message propagation (HRMP) method for robust model fitting, which simultaneously takes advantages of both the cons…
Hypergraph Optimization for Multi-structural Geometric Model Fitting
Shuyuan Lin, Guobao Xiao, Yan Yan +2
Recently, some hypergraph-based methods have been proposed to deal with the problem of model fitting in computer vision, mainly due to the superior capability of hypergraph to repr…
Superpixel-guided Two-view Deterministic Geometric Model Fitting
Guobao Xiao, Hanzi Wang, Yan Yan +1
Geometric model fitting is a fundamental research topic in computer vision and it aims to fit and segment multiple-structure data. In this paper, we propose a novel superpixel-guid…
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
Hanzi Wang, Guobao Xiao, Yan Yan +1
In this paper, we propose a simple and effective {geometric} model fitting method to fit and segment multi-structure data even in the presence of severe outliers. We cast the task…
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data
Guobao Xiao, Hanzi Wang, Yan Yan +1
This paper proposes a two-view deterministic geometric model fitting method, termed Superpixel-based Deterministic Fitting (SDF), for multiple-structure data. SDF starts from super…
Hypergraph Modelling for Geometric Model Fitting
Guobao Xiao, Hanzi Wang, Taotao Lai +1
In this paper, we propose a novel hypergraph based method (called HF) to fit and segment multi-structural data. The proposed HF formulates the geometric model fitting problem as a…
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
Hanzi Wang, Guobao Xiao, Yan Yan +1
In this paper, we propose a novel geometric model fitting method, called Mode-Seeking on Hypergraphs (MSH),to deal with multi-structure data even in the presence of severe outliers…