Area of research
Computer Vision and Pattern Recognition · Aerospace Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Pattern recognition (psychology), Speech recognition, Distillation, and Robustness (evolution).
Audio–visual correspondences based joint learning for instrumental playing source separation
Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions
CASP-Net: Rethinking Video Saliency Prediction from an Audio-Visual Consistency Perceptual Perspective
Closed-loop unified knowledge distillation for dense object detection
How does Layer Normalization improve Batch Normalization in self-supervised sound source localization?
‘Parallel-Circuitized’ distillation for dense object detection
Look&listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement
Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation
One-shot Video Graph Generation for Explainable Action Reasoning
Object detection based on cortex hierarchical activation in border sensitive mechanism and classification-GIou joint representation
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking
A new VAE-GAN model to synthesize arterial spin labeling images from structural MRI
A novel multi-loss-based deep adversarial network for handling challenging cases in semi-supervised image semantic segmentation
Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss Regularization