23 citations · 41 across the 6 of their papers we have counts for
6 papers
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang, Lu Qi, Xu Yang +3
This paper tackles the problem of novel category discovery (NCD), which aims to discriminate unknown categories in large-scale image collections. The NCD task is challenging due to…
Effective Deterministic Initialization for -Means-Like Methods via Local Density Peaks Searching
Fengfu Li, Hong Qiao, Bo Zhang
The -means clustering algorithm is popular but has the following main drawbacks: 1) the number of clusters, , needs to be provided by the user in advance, 2) it can easily re…
Perceptual uniform descriptor and Ranking on manifold: A bridge between image representation and ranking for image retrieval
Shenglan Liu, Jun Wu, Lin Feng +4
Incompatibility of image descriptor and ranking is always neglected in image retrieval. In this paper, manifold learning and Gestalt psychology theory are involved to solve the inc…
Poisson Noise Reduction with Higher-order Natural Image Prior Model
Wensen Feng, Hong Qiao, Yunjin Chen
Poisson denoising is an essential issue for various imaging applications, such as night vision, medical imaging and microscopy. State-of-the-art approaches are clearly dominated by…
A Weighted Common Subgraph Matching Algorithm
Xu Yang, Hong Qiao, Zhi-Yong Liu
We propose a weighted common subgraph (WCS) matching algorithm to find the most similar subgraphs in two labeled weighted graphs. WCS matching, as a natural generalization of the e…
Intrinsic dimension estimation of data by principal component analysis
Mingyu Fan, Nannan Gu, Hong Qiao +1
Estimating intrinsic dimensionality of data is a classic problem in pattern recognition and statistics. Principal Component Analysis (PCA) is a powerful tool in discovering dimensi…