34 citations · 66 across the 12 of their papers we have counts for
23 papers
Long-Range Zero-Shot Generative Deep Network Quantization
Yan Luo, Yangcheng Gao, Zhao Zhang +3
Quantization approximates a deep network model with floating-point numbers by the one with low bit width numbers, in order to accelerate inference and reduce computation. Quantizin…
Seeing Through the Noisy Dark: Towards Real-world Low-Light Image Enhancement and Denoising
Jiahuan Ren, Zhao Zhang, Richang Hong +3
Low-light image enhancement (LLIE) aims at improving the illumination and visibility of dark images with lighting noise. To handle the real-world low-light images often with heavy…
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…