no code implementations • CVPR 2023 • Changfeng Ma, Yinuo Chen, Pengxiao Guo, Jie Guo, Chongjun Wang, Yanwen Guo
Extensive experiments and comparisons demonstrate our superiority and generalization and show that our method achieves state-of-the-art performance on unsupervised completion of real scene objects.
no code implementations • 30 Nov 2022 • Yifen Ke, Changfeng Ma, Zhigang Jia, Yajun Xie, Riwei Liao
Numerical results indicate that the accuracy rate of face recognition on the quaternion model is better than on the red, green and blue channels of color image as well as single channel of gray level images for the same data, when large facial expressions and shooting angle variations are presented.
no code implementations • 18 Mar 2022 • Changfeng Ma, Yang Yang, Jie Guo, Chongjun Wang, Yanwen Guo
We propose in this paper an end-to-end network, named CS-Net, to complete the point clouds contaminated by noises or containing outliers.