16 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 16 cited
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…
cs.CV2017★ 6 cited
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…
cs.CV2016★ 1 cited
Image Denoising via Multi-scale Nonlinear Diffusion Models
Wensen Feng, Peng Qiao, Xuanyang Xi +1
Image denoising is a fundamental operation in image processing and holds considerable practical importance for various real-world applications. Arguably several thousands of papers…