Area of research
Computer Vision and Pattern Recognition · Signal Processing
Research interest
Research interests include Computer science, Artificial intelligence, Computer vision, Generalization, Face (sociological concept), and Convolutional neural network.
Pixel-Inconsistency Modeling for Image Manipulation Localization
MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection
Cross-Frequency Attention and Color Contrast Constraint for Remote Sensing Dehazing
Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection
Towards marine snow removal with fusing Fourier information
Mining Generalized Multi-timescale Inconsistency for Detecting Deepfake Videos
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection
Augmented Multi-Scale Spatiotemporal Inconsistency Magnifier for Generalized DeepFake Detection
PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake Detection
Narrowing Domain Gaps With Bridging Samples for Generalized Face Forgery Detection
Deep Non-Cooperative Spectrum Sensing Over Rayleigh Fading Channel
Exposing Video Compression History by Detecting Transcoded HEVC Videos from AVC Coding
Multi-resolution attention convolutional neural network for crowd counting
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates