Area of research
Computer Vision and Pattern Recognition · Biomedical Engineering
Research interest
Research interests include Human Pose and Action Recognition, Gait Recognition and Analysis, Hand Gesture Recognition Systems, and Video Surveillance and Tracking Methods.
Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
ModelNet-O: A large-scale synthetic dataset for occlusion-aware point cloud classification
Intelligent and ligand-based surface-enhanced Raman spectroscopy biosensors for the instant screening of viral respiratory infections
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
Temporal Decoupling Graph Convolutional Network for Skeleton-Based Gesture Recognition
A gated cross-domain collaborative network for underwater object detection
Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction
Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition
Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition