no code implementations • 8 Apr 2020 • 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.
no code implementations • 7 Apr 2020 • Yang Zhang, Changhui Hu, Xiaobo Lu
In addition, due to the adversarial learning framework can reliably produce high quality natural images, the specified content loss as well as the adversarial loss are back-propagated to optimize the training of model.
no code implementations • 7 Apr 2020 • Yang Zhang, Changhui Hu, Xiaobo Lu
Then, the illumination level is referenced to construct the high performance LEF as well realize adaptive fusion for multiple scales LEFs for the face image, performing JLEF-feature.
no code implementations • CVPR 2020 • Yang Zhang, Ivor Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu
This paper proposes a Copy and Paste Generative Adversarial Network (CPGAN) to recover authentic high-resolution (HR) face images while compensating for low and non-uniform illumination.