Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Action recognition, with related work in Benchmark (surveying), RGB color model, Tree traversal. Notable publications include 'Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition', 'Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates', and 'Early Action Prediction by Soft Regression'.
Spatial Temporal Block Transformer Network for Skeleton-Based Action Recognition
Motion-Guided Cascaded Refinement Network for Video Object Segmentation
Early Action Prediction by Soft Regression
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
Real-Time RGB-D Activity Prediction by Soft Regression
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition
Learning to Share Latent Tasks for Action Recognition