106 citations · 235 across the 25 of their papers we have counts for
6 papers · 1 filter
Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior
Yan Zhang, Zhao Zhang, Yang Wang +4
Nonnegative matrix factorization is usually powerful for learning the "shallow" parts-based representation, but it clearly fails to discover deep hierarchical information within bo…
Unsupervised Vehicle Re-identification with Progressive Adaptation
Jinjia Peng, Yang Wang, Huibing Wang +3
Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal…
Convolutional Dictionary Pair Learning Network for Image Representation Learning
Zhao Zhang, Yulin Sun, Yang Wang +3
Both the Dictionary Learning (DL) and Convolutional Neural Networks (CNN) are powerful image representation learning systems based on different mechanisms and principles, however w…
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
Xianzhen Li, Zhao Zhang, Yang Wang +3
For subspace recovery, most existing low-rank representation (LRR) models performs in the original space in single-layer mode. As such, the deep hierarchical information cannot be…
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition
Zhao Zhang, Zemin Tang, Zheng Zhang +3
The Deep Convolutional Neural Networks (CNNs) have obtained a great success for pattern recognition, such as recognizing the texts in images. But existing CNNs based frameworks sti…
Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network
Yanyan Wei, Zhao Zhang, Yang Wang +4
Removing the rain streaks from single image is still a challenging task, since the shapes and directions of rain streaks in the synthetic datasets are very different from real imag…