29 citations · 63 across the 18 of their papers we have counts for
9 papers · 1 filter
Adaptive Shrink-Mask for Text Detection
Chuang Yang, Mulin Chen, Yuan Yuan +2
Existing real-time text detectors reconstruct text contours by shrink-masks directly, which simplifies the framework and can make the model run fast. However, the strong dependence…
MT: Multi-Perspective Feature Learning Network for Scene Text Detection
Chuang Yang, Mulin Chen, Yuan Yuan +1
Text detection, the key technology for understanding scene text, has become an attractive research topic. For detecting various scene texts, researchers propose plenty of detectors…
Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image
Qi Wang, Yanling Miao, Mulin Chen +1
Hyperspectral image (HSI) clustering, which aims at dividing hyperspectral pixels into clusters, has drawn significant attention in practical applications. Recently, many graph-bas…
Auto-weighted Multi-view Feature Selection with Graph Optimization
Qi Wang, Xu Jiang, Mulin Chen +1
In this paper, we focus on the unsupervised multi-view feature selection which tries to handle high dimensional data in the field of multi-view learning. Although some graph-based…
BiP-Net: Bidirectional Perspective Strategy based Arbitrary-Shaped Text Detection Network
Chuang Yang, Mulin Chen, Yuan Yuan +1
Detecting irregular-shaped text instances is the main challenge for text detection. Existing approaches can be roughly divided into top-down and bottom-up perspective methods. The…
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Yanling Miao, Qi Wang, Mulin Chen +1
Graph-based semi-supervised learning methods, which deal well with the situation of limited labeled data, have shown dominant performance in practical applications. However, the hi…
Feature Weighted Non-negative Matrix Factorization
Mulin Chen, Maoguo Gong, Xuelong Li
Non-negative Matrix Factorization (NMF) is one of the most popular techniques for data representation and clustering, and has been widely used in machine learning and data analysis…
Entropy Minimizing Matrix Factorization
Mulin Chen, Xuelong Li
Nonnegative Matrix Factorization (NMF) is a widely-used data analysis technique, and has yielded impressive results in many real-world tasks. Generally, existing NMF methods repres…
Multi-channel Deep Supervision for Crowd Counting
Bo Wei, Mulin Chen, Qi Wang +1
Crowd counting is a task worth exploring in modern society because of its wide applications such as public safety and video monitoring. Many CNN-based approaches have been proposed…