activity
20142025
most citedLocalizing Anomalies from Weakly-Labeled Videos

193 citations · 785 across the 23 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.LG2018★ 2 cited

Gaussian-Induced Convolution for Graphs

Jiatao Jiang, Zhen Cui, Chunyan Xu +1

Learning representation on graph plays a crucial role in numerous tasks of pattern recognition. Different from grid-shaped images/videos, on which local convolution kernels can be…

cs.CV2018★ 53 cited

Context-Dependent Diffusion Network for Visual Relationship Detection

Zhen Cui, Chunyan Xu, Wenming Zheng +1

Visual relationship detection can bridge the gap between computer vision and natural language for scene understanding of images. Different from pure object recognition tasks, the r…

cs.LG2018★ 12 cited

When Work Matters: Transforming Classical Network Structures to Graph CNN

Wenting Zhao, Chunyan Xu, Zhen Cui +4

Numerous pattern recognition applications can be formed as learning from graph-structured data, including social network, protein-interaction network, the world wide web data, know…

cs.SI2018★ 15 cited

Walk-Steered Convolution for Graph Classification

Jiatao Jiang, Chunyan Xu, Zhen Cui +3

Graph classification is a fundamental but challenging issue for numerous real-world applications. Despite recent great progress in image/video classification, convolutional neural…

cs.CV2018★ 31 cited

Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

Chaolong Li, Zhen Cui, Wenming Zheng +2

Variations of human body skeletons may be considered as dynamic graphs, which are generic data representation for numerous real-world applications. In this paper, we propose a spat…