112 citations · 250 across the 12 of their papers we have counts for
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3 papers · 1 filter
cs.CV2022
Learning Latent Part-Whole Hierarchies for Point Clouds
Xiang Gao, Wei Hu, Renjie Liao
Strong evidence suggests that humans perceive the 3D world by parsing visual scenes and objects into part-whole hierarchies. Although deep neural networks have the capability of le…
cs.CV2022★ 4 cited
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
Xiang Gao, Yuqi Zhang, Yingjie Tian
Image cartoonization is recently dominated by generative adversarial networks (GANs) from the perspective of unsupervised image-to-image translation, in which an inherent challenge…
cs.CL2022★ 2 cited
StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
Hongzhu Li, Xiangrui Gao, Linhui Feng +2
Conventional representation learning algorithms for knowledge graphs (KG) map each entity to a unique embedding vector, ignoring the rich information contained in the neighborhood.…