26 citations · 52 across the 5 of their papers we have counts for
5 papers
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
Fengfu Li, Hong Qiao, Bo Zhang +1
Traditional image clustering methods take a two-step approach, feature learning and clustering, sequentially. However, recent research results demonstrated that combining the separ…
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network
Xuanyang Xi, Yongkang Luo, Fengfu Li +2
Visual saliency detection aims at identifying the most visually distinctive parts in an image, and serves as a pre-processing step for a variety of computer vision and image proces…
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…
A New Manifold Distance Measure for Visual Object Categorization
Fengfu Li, Xiayuan Huang, Hong Qiao +1
Manifold distances are very effective tools for visual object recognition. However, most of the traditional manifold distances between images are based on the pixel-level compariso…
Categorification of quantum symmetric pairs I
Huanchen Bao, Peng Shan, Weiqiang Wang +1
We categorify a coideal subalgebra of the quantum group of by introducing a -category à la Khovanov-Lauda-Rouquier, and show that self-dual indecomposable…