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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 2021Show all

7 papers · 1 filter

cs.NI2021★ 3 cited

Going Deeper in Frequency Convolutional Neural Network: A Theoretical Perspective

Xiaohan Zhu, Zhen Cui, Tong Zhang +2

Convolutional neural network (CNN) is one of the most widely-used successful architectures in the era of deep learning. However, the high-computational cost of CNN still hampers mo…

cs.CV2021★ 10 cited

Learning Fair Face Representation With Progressive Cross Transformer

Yong Li, Yufei Sun, Zhen Cui +2

Face recognition (FR) has made extraordinary progress owing to the advancement of deep convolutional neural networks. However, demographic bias among different racial cohorts still…

cs.CV2021★ 24 cited

Graph Jigsaw Learning for Cartoon Face Recognition

Yong Li, Lingjie Lao, Zhen Cui +2

Cartoon face recognition is challenging as they typically have smooth color regions and emphasized edges, the key to recognize cartoon faces is to precisely perceive their sparse a…

cs.CV2021★ 4 cited

Consistent Instance False Positive Improves Fairness in Face Recognition

Xingkun Xu, Yuge Huang, Pengcheng Shen +5

Demographic bias is a significant challenge in practical face recognition systems. Existing methods heavily rely on accurate demographic annotations. However, such annotations are…

cs.CV2021★ 15 cited

Learning Normal Dynamics in Videos with Meta Prototype Network

Hui Lv, Chen Chen, Zhen Cui +3

Frame reconstruction (current or future frame) based on Auto-Encoder (AE) is a popular method for video anomaly detection. With models trained on the normal data, the reconstructio…

cs.CV2021★ 5 cited

Global Information Guided Video Anomaly Detection

Hui Lv, Chunyan Xu, Zhen Cui

Video anomaly detection (VAD) is currently a challenging task due to the complexity of anomaly as well as the lack of labor-intensive temporal annotations. In this paper, we propos…