most citedStructure-Feature based Graph Self-adaptive Pooling

65 citations · 78 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition

Ning Wang, Guangming Zhu, Liang Zhang +3

For a given video-based Human-Object Interaction scene, modeling the spatio-temporal relationship between humans and objects are the important cue to understand the contextual info…

eess.IV20219 cited

A Systematic Collection of Medical Image Datasets for Deep Learning

Johann Li, Guangming Zhu, Cong Hua +11

The astounding success made by artificial intelligence (AI) in healthcare and other fields proves that AI can achieve human-like performance. However, success always comes with cha…

cs.CV20203 cited

MeDaS: An open-source platform as service to help break the walls between medicine and informatics

Liang Zhang, Johann Li, Ping Li +7

In the past decade, deep learning (DL) has achieved unprecedented success in numerous fields including computer vision, natural language processing, and healthcare. In particular,…

cs.CV2020

Efficient Scene Text Detection with Textual Attention Tower

Liang Zhang, Yufei Liu, Hang Xiao +5

Scene text detection has received attention for years and achieved an impressive performance across various benchmarks. In this work, we propose an efficient and accurate approach…

cs.SI202065 cited

Structure-Feature based Graph Self-adaptive Pooling

Liang Zhang, Xudong Wang, Hongsheng Li +6

Various methods to deal with graph data have been proposed in recent years. However, most of these methods focus on graph feature aggregation rather than graph pooling. Besides, th…