193 citations · 250 across the 9 of their papers we have counts for
16 papers
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-Temporal Tensor Graph Convolutional Network for Traffic Prediction
Xuran Xu, Tong Zhang, Chunyan Xu +2
Accurate traffic prediction is crucial to the guidance and management of urban traffics. However, most of the existing traffic prediction models do not consider the computational b…
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang, Chunyan Xu, Yap-Peng Tan +1
Deep convolutional neural networks (CNNs) learned on large-scale labeled samples have achieved remarkable progress in computer vision, such as image/video classification. The cheap…
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…
Instance-Aware Graph Convolutional Network for Multi-Label Classification
Yun Wang, Tong Zhang, Zhen Cui +2
Graph convolutional neural network (GCN) has effectively boosted the multi-label image recognition task by introducing label dependencies based on statistical label co-occurrence o…