Search Results for author:
Found 7 papers, 0 papers with code
Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection
To mitigate memory consumption, we convert the order information prediction task into a multi-label learning problem, and the inter-patch similarity prediction task into a distance matrix regression problem.
2D+3D facial expression recognition via embedded tensor manifold regularization
In this paper, a novel approach via embedded tensor manifold regularization for 2D+3D facial expression recognition (FERETMR) is proposed.
3D Facial Expression Recognition
Dimensionality Reduction
+1
Prototype Guided Network for Anomaly Segmentation
In the model, prototypes are used to model the hierarchical category semantic information and distinguish OOD pixels.
STSM: Spatio-Temporal Shift Module for Efficient Action Recognition
The modeling, computational cost, and accuracy of traditional Spatio-temporal networks are the three most concentrated research topics in video action recognition.
E2-Capsule Neural Networks for Facial Expression Recognition Using AU-Aware Attention
In this paper, the one Double Enhanced Capsule Neural Network (E2-Capsnet) that uses AU-aware attention for facial expression recognition (FER) is proposed.
Facial Expression Recognition
Facial Expression Recognition (FER)
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition
Spatial and temporal features are two key and complementary information for human action recognition.
Multi-Level Recurrent Residual Networks for Action Recognition
Each stream consists of a Residual Networks(ResNets) and a recurrent model.
