no code implementations • ECCV 2020 • Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, Jun Yin
In this paper, a Pixel to Global Matching Network (PG-Net) is proposed to suppress the influence of background in search image while achieving state-of-the-art tracking performance.
1 code implementation • 1 Feb 2018 • Xuemei Xie, Chenye Wang, Jiang Du, Guangming Shi
In measurement part, the input image is adaptively measured block by block to acquire a group of measurements.
1 code implementation • 1 Feb 2018 • Jiang Du, Xuemei Xie, Chenye Wang, Guangming Shi
In detail, we employ perceptual loss, defined on feature level, to enhance the structure information of the recovered images.
1 code implementation • 21 Nov 2017 • Jiang Du, Xuemei Xie, Chenye Wang, Guangming Shi, Xun Xu, Yu-Xiang Wang
Recently, deep learning methods have made a significant improvement in compressive sensing image reconstruction task.
no code implementations • 5 Oct 2017 • Xuemei Xie, Chenye Wang, Shu Chen, Guangming Shi, Zhifu Zhao
Experiments show that the system can achieve a 99% accuracy and real-time (25FPS) detection with strong robustness in complex environments.
1 code implementation • 23 Sep 2017 • Xuemei Xie, Yu-Xiang Wang, Guangming Shi, Chenye Wang, Jiang Du, Zhifu Zhao
In this paper, we propose an adaptive measurement network in which measurement is obtained by learning.