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20142023
most citedSpatial-Temporal Recurrent Neural Network for Emotion Recognition

604 citations · 1.3k across the 35 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

cs.CV2018★ 1 cited

Cross-Database Micro-Expression Recognition: A Benchmark

Yuan Zong, Tong Zhang, Wenming Zheng +4

Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis. CDMER is more challenging than the conventiona…

cs.CV2018★ 6 cited

Cross-database non-frontal facial expression recognition based on transductive deep transfer learning

Keyu Yan, Wenming Zheng, Tong Zhang +2

Cross-database non-frontal expression recognition is a very meaningful but rather difficult subject in the fields of computer vision and affect computing. In this paper, we propose…

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…