10 citations · 16 across the 4 of their papers we have counts for
4 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…
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan, Jin-Gang Yu, Zhihao Liang +4
Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in…
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…
Exemplar-based Linear Discriminant Analysis for Robust Object Tracking
Changxin Gao, Feifei Chen, Jin-Gang Yu +2
Tracking-by-detection has become an attractive tracking technique, which treats tracking as a category detection problem. However, the task in tracking is to search for a specific…