no code implementations • 20 Jan 2021 • Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
The proposed filter can be adopted in a wide range of image processing applications.
no code implementations • 20 Jan 2021 • Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
Weighted Gaussian Curvature is an important measurement for images.
no code implementations • 27 Jun 2020 • Jun Liu, Qing Li, Rui Cao, Wenming Tang, Guoping Qiu
To the best of our knowledge, this work is the first extremely lightweight neural network trained on monocular video sequences for real-time unsupervised monocular depth estimation, which opens up the possibility of implementing deep learning-based real-time unsupervised monocular depth prediction on low-cost embedded devices.
Ranked #5 on Semantic Segmentation on SpectralWaste
2 code implementations • ICCV 2019 • Kanglin Liu, Wenming Tang, Fei Zhou, Guoping Qiu
Theoretical analysis shows that the optimal solution to the discriminator has a strong relationship to the spectral distributions of the weight matrix. Therefore, we monitor the spectral distribution in the discriminator of spectral normalized GANs (SN-GANs), and discover a phenomenon which we refer to as spectral collapse, where a large number of singular values of the weight matrices drop dramatically when mode collapse occurs.
1 code implementation • 12 May 2019 • Wei Pan, Xuequan Lu, Yuanhao Gong, Wenming Tang, Jun Liu, Ying He, Guoping Qiu
This paper presents a simple yet effective method for feature-preserving surface smoothing.
Computational Geometry Graphics