Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Data mining, Lidar, Benchmark (surveying), and Visibility.
Augmented Multi-Scale Spatiotemporal Inconsistency Magnifier for Generalized DeepFake Detection
MSVT: Multiple Spatiotemporal Views Transformer for DeepFake Video Detection
PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake Detection
Narrowing Domain Gaps With Bridging Samples for Generalized Face Forgery Detection
Background Noise Filtering and Clustering With 3D LiDAR Deployed in Roadside of Urban Environments
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
A Decision Tree Based Road Recognition Approach Using Roadside Fixed 3D LiDAR Sensors