39 citations · 54 across the 7 of their papers we have counts for
7 papers
Deep Graph Matching under Quadratic Constraint
Quankai Gao, Fudong Wang, Nan Xue +2
Recently, deep learning based methods have demonstrated promising results on the graph matching problem, by relying on the descriptive capability of deep features extracted on grap…
Zero-Assignment Constraint for Graph Matching with Outliers
Fudong Wang, Nan Xue, Jin-Gang Yu +1
Graph matching (GM), as a longstanding problem in computer vision and pattern recognition, still suffers from numerous cluttered outliers in practical applications. To address this…
Holistically-Attracted Wireframe Parsing
Nan Xue, Tianfu Wu, Song Bai +4
This paper presents a fast and parsimonious parsing method to accurately and robustly detect a vectorized wireframe in an input image with a single forward pass. The proposed metho…
Learning Regional Attraction for Line Segment Detection
Nan Xue, Song Bai, Fu-Dong Wang +4
This paper presents regional attraction of line segment maps, and hereby poses the problem of line segment detection (LSD) as a problem of region coloring. Given a line segment map…
A Functional Representation for Graph Matching
Fu-Dong Wang, Gui-Song Xia, Nan Xue +2
Graph matching is an important and persistent problem in computer vision and pattern recognition for finding node-to-node correspondence between graph-structured data. However, as…
Learning Attraction Field Representation for Robust Line Segment Detection
Nan Xue, Song Bai, Fudong Wang +3
This paper presents a region-partition based attraction field dual representation for line segment maps, and thus poses the problem of line segment detection (LSD) as the region co…
Adaptively Transforming Graph Matching
Fudong Wang, Nan Xue, Yipeng Zhang +2
Recently, many graph matching methods that incorporate pairwise constraint and that can be formulated as a quadratic assignment problem (QAP) have been proposed. Although these met…