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20202023
most citedSelf-supervised Graph-level Representation Learning with Local and Global Structure

28 citations · 107 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Cross-category Video Highlight Detection via Set-based Learning

Minghao Xu, Hang Wang, Bingbing Ni +3

Autonomous highlight detection is crucial for enhancing the efficiency of video browsing on social media platforms. To attain this goal in a data-driven way, one may often face the…

cs.LG2021★ 28 cited

Self-supervised Graph-level Representation Learning with Local and Global Structure

Minghao Xu, Hang Wang, Bingbing Ni +2

This paper studies unsupervised/self-supervised whole-graph representation learning, which is critical in many tasks such as molecule properties prediction in drug and material dis…

cs.CV2021★ 23 cited

X-volution: On the unification of convolution and self-attention

Xuanhong Chen, Hang Wang, Bingbing Ni

Convolution and self-attention are acting as two fundamental building blocks in deep neural networks, where the former extracts local image features in a linear way while the latte…

cs.CV2021★ 19 cited

3D Human Action Representation Learning via Cross-View Consistency Pursuit

Linguo Li, Minsi Wang, Bingbing Ni +3

In this work, we propose a Cross-view Contrastive Learning framework for unsupervised 3D skeleton-based action Representation (CrosSCLR), by leveraging multi-view complementary sup…

cs.CV2021★ 2 cited

Graphical Modeling for Multi-Source Domain Adaptation

Minghao Xu, Hang Wang, Bingbing Ni

Multi-Source Domain Adaptation (MSDA) focuses on transferring the knowledge from multiple source domains to the target domain, which is a more practical and challenging problem com…