Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Robustness (evolution), Digital watermarking, Artificial intelligence, Distortion (music), and Watermark.
Flexible Partial Screen-Shooting Watermarking With Provable Robustness
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
MuST: Robust Image Watermarking for Multi-Source Tracing
Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions
DeNoL: A Few-Shot-Sample-Based Decoupling Noise Layer for Cross-channel Watermarking Robustness
A Robust Database Watermarking Scheme That Preserves Statistical Characteristics
PIMoG: An Effective Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network
Encoded Feature Enhancement in Watermarking Network for Distortion in Real Scenes
De-END: Decoder-Driven Watermarking Network