Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Benchmark (surveying), Object detection, Face (sociological concept), and Quality (philosophy).
Generating Higher-Quality Anti-Forensics DeepFakes with Adversarial Sharpening Mask
Rapid identification of different roasting degrees of Cyperus Rhizome based on multi-source data fusion and Artificial Intelligence algorithms
AI-Synthesized Voice Detection Using Neural Vocoder Artifacts
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces
ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN
Model Attribution of Face-Swap Deepfake Videos
Anti-Forensics for Face Swapping Videos via Adversarial Training
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring