23 citations · 92 across the 14 of their papers we have counts for
16 papers · 1 filter
Spatio-Temporal Relation Learning for Video Anomaly Detection
Hui Lv, Zhen Cui, Biao Wang +1
Anomaly identification is highly dependent on the relationship between the object and the scene, as different/same object actions in same/different scenes may lead to various degre…
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…
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…
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…
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…
Spatial Transformer Point Convolution
Yuan Fang, Chunyan Xu, Zhen Cui +2
Point clouds are unstructured and unordered in the embedded 3D space. In order to produce consistent responses under different permutation layouts, most existing methods aggregate…