10 citations · 16 across the 4 of their papers we have counts for
4 papers
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Xin Xing, Zhexiao Xiong, Abby Stylianou +3
This paper presents a novel approach to Single-Positive Multi-label Learning. In general multi-label learning, a model learns to predict multiple labels or categories for a single…
Lie Group Auto-Encoder
Liyu Gong, Qiang Cheng
In this paper, we propose an auto-encoder based generative neural network model whose encoder compresses the inputs into vectors in the tangent space of a special Lie group manifol…
Exploiting Edge Features in Graph Neural Networks
Liyu Gong, Qiang Cheng
Edge features contain important information about graphs. However, current state-of-the-art neural network models designed for graph learning, e.g. graph convolutional networks (GC…
Lie Algebrized Gaussians for Image Representation
Liyu Gong, Meng Chen, Chunlong Hu
We present an image representation method which is derived from analyzing Gaussian probability density function (\emph{pdf}) space using Lie group theory. In our proposed method, i…