7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
Bin Sun, Shaofan Wang, Dehui Kong +2
Domain adaptation aims to leverage information from the source domain to improve the classification performance in the target domain. It mainly utilizes two schemes: sample reweigh…
cs.CV2021★ 7 cited
GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition
Bin Sun, Dehui Kong, Shaofan Wang +3
Zero-shot action recognition can recognize samples of unseen classes that are unavailable in training by exploring common latent semantic representation in samples. However, most m…
cs.CV2016★ 3 cited
Matrix Variate RBM and Its Applications
Guanglei Qi, Yanfeng Sun, Junbin Gao +2
Restricted Boltzmann Machine (RBM) is an importan- t generative model modeling vectorial data. While applying an RBM in practice to images, the data have to be vec- torized. This r…