activity
20162020
most citedHypergraph Modelling for Geometric Model Fitting

33 citations · 68 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV202014 cited

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…

cs.CV202021 cited

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV201633 cited

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…