11 citations · 16 across the 8 of their papers we have counts for
8 papers
Deep Learning based Intelligent Coin-tap Test for Defect Recognition
Hongyu Li, Peng Jiang, Tiejun Wang
The coin-tap test is a convenient and primary method for non-destructive testing, while its manual on-site operation is tough and costly. With the help of the latest intelligent si…
Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing
Dong Zhao, Jia Li, Hongyu Li +1
Conventional CNNs-based dehazing models suffer from two essential issues: the dehazing framework (limited in interpretability) and the convolution layers (content-independent and i…
A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal
Hongyu Li, Jihe Wang, Yu Zhang +2
A reasonable evaluation standard underlies construction of effective deep learning models. However, we find in experiments that the automatic crack detectors based on deep learning…
Arbitrary-sized Image Training and Residual Kernel Learning: Towards Image Fraud Identification
Hongyu Li, Xiaogang Huang, Zhihui Fu +1
Preserving original noise residuals in images are critical to image fraud identification. Since the resizing operation during deep learning will damage the microstructures of image…
An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning
Hongyu Li, Tianqi Han
Federated learning is a distributed learning method to train a shared model by aggregating the locally-computed gradient updates. In federated learning, bandwidth and privacy are t…
Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset
Hongyu Li, Fan Zhu, Junhua Qiu
Since the low quality of document images will greatly undermine the chances of success in automatic text recognition and analysis, it is necessary to assess the quality of document…
Two-Layer Mixture Network Ensemble for Apparel Attributes Classification
Tianqi Han, Zhihui Fu, Hongyu Li
Recognizing apparel attributes has recently drawn great interest in the computer vision community. Methods based on various deep neural networks have been proposed for image classi…
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient
Hongyu Li, Fan Zhu, Junhua Qiu
Document image quality assessment (DIQA) is an important and challenging problem in real applications. In order to predict the quality scores of document images, this paper propose…