2 citations · 6 across the 5 of their papers we have counts for
5 papers
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation
Yiming Lei, Zilong Li, Yangyang Li +2
The goal of image ordinal estimation is to estimate the ordinal label of a given image with a convolutional neural network. Existing methods are mainly based on ordinal regression…
Location-Free Camouflage Generation Network
Yangyang Li, Wei Zhai, Yang Cao +1
Camouflage is a common visual phenomenon, which refers to hiding the foreground objects into the background images, making them briefly invisible to the human eye. Previous work ha…
Curvature-aware Manifold Learning
Yangyang Li
Traditional manifold learning algorithms assumed that the embedded manifold is globally or locally isometric to Euclidean space. Under this assumption, they divided manifold into a…
Applying Ricci Flow to High Dimensional Manifold Learning
Yangyang Li, Ruqian Lu
Traditional manifold learning algorithms often bear an assumption that the local neighborhood of any point on embedded manifold is roughly equal to the tangent space at that point…
Locality preserving projection on SPD matrix Lie group: algorithm and analysis
Yangyang Li, Ruqian Lu
Symmetric positive definite (SPD) matrices used as feature descriptors in image recognition are usually high dimensional. Traditional manifold learning is only applicable for reduc…