1.1k citations · 1.6k across the 16 of their papers we have counts for
11 papers · 1 filter
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
Jie Wen, Zheng Zhang, Yong Xu +3
In recent years, incomplete multi-view clustering, which studies the challenging multi-view clustering problem on missing views, has received growing research interests. Although a…
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification
Huafeng Li, Kaixiong Xu, Jinxing Li +4
Since human-labeled samples are free for the target set, unsupervised person re-identification (Re-ID) has attracted much attention in recent years, by additionally exploiting the…
Asymmetric CNN for image super-resolution
Chunwei Tian, Yong Xu, Wangmeng Zuo +2
Deep convolutional neural networks (CNNs) have been widely applied for low-level vision over the past five years. According to nature of different applications, designing appropria…
Robust Classification with Sparse Representation Fusion on Diverse Data Subsets
Chun-Mei Feng, Yong Xu, Zuoyong Li +1
Sparse Representation (SR) techniques encode the test samples into a sparse linear combination of all training samples and then classify the test samples into the class with the mi…
Deep Learning for Image Denoising: A Survey
Chunwei Tian, Yong Xu, Lunke Fei +1
Since the proposal of big data analysis and Graphic Processing Unit (GPU), the deep learning technology has received a great deal of attention and has been widely applied in the fi…
Enhanced CNN for image denoising
Chunwei Tian, Yong Xu, Lunke Fei +3
Owing to flexible architectures of deep convolutional neural networks (CNNs), CNNs are successfully used for image denoising. However, they suffer from the following drawbacks: (i)…
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
Zheng Zhang, Li Liu, Jie Qin +5
How to economically cluster large-scale multi-view images is a long-standing problem in computer vision. To tackle this challenge, we introduce a novel approach named Highly-econom…
Discriminative Block-Diagonal Representation Learning for Image Recognition
Zheng Zhang, Yong Xu, Ling Shao +1
Existing block-diagonal representation researches mainly focuses on casting block-diagonal regularization on training data, while only little attention is dedicated to concurrently…
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Hongliang Yan, Yukang Ding, Peihua Li +3
In domain adaptation, maximum mean discrepancy (MMD) has been widely adopted as a discrepancy metric between the distributions of source and target domains. However, existing MMD-b…
Natural Scene Character Recognition Using Robust PCA and Sparse Representation
Zheng Zhang, Yong Xu, Cheng-Lin Liu
Natural scene character recognition is challenging due to the cluttered background, which is hard to separate from text. In this paper, we propose a novel method for robust scene c…
A survey of sparse representation: algorithms and applications
Zheng Zhang, Yong Xu, Jian Yang +2
Sparse representation has attracted much attention from researchers in fields of signal processing, image processing, computer vision and pattern recognition. Sparse representation…