most citedDeep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20202 cited

Improved YOLOv3 Object Classification in Intelligent Transportation System

Yang Zhang, Changhui Hu, Xiaobo Lu

The technology of vehicle and driver detection in Intelligent Transportation System(ITS) is a hot topic in recent years. In particular, the driver detection is still a challenging…

cs.CV2020

Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition

Yang Zhang, Changhui Hu, Xiaobo Lu

This paper presents an novel illumination-invariant feature representation approach used to eliminate the varying illumination affection in undersampled face recognition. Firstly,…

eess.IV20203 cited

Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization

Yang Zhang, Changhui Hu, Xiaobo Lu

Most of current display devices are with eight or higher bit-depth. However, the quality of most multimedia tools cannot achieve this bit-depth standard for the generating images.…

cs.CV2020

Copy and Paste GAN: Face Hallucination from Shaded Thumbnails

Yang Zhang, Ivor Tsang, Yawei Luo +3

Existing face hallucination methods based on convolutional neural networks (CNN) have achieved impressive performance on low-resolution (LR) faces in a normal illumination conditio…

cs.CV2020

Face Hallucination with Finishing Touches

Yang Zhang, Ivor W. Tsang, Jun Li +3

Obtaining a high-quality frontal face image from a low-resolution (LR) non-frontal face image is primarily important for many facial analysis applications. However, mainstreams eit…