6 citations · 13 across the 10 of their papers we have counts for
11 papers · 1 filter
Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing
Fangling Jiang, Qi Li, Bing Liu +4
Open-world face anti-spoofing must address both covariate and semantic shifts: source and target domains differ in imaging conditions, while target domains contain diverse attack t…
Towards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmark
Qi Li, Weining Wang, Shuangjun Du +5
Face swapping has witnessed significant progress in recent years, largely driven by advances in deep generative models such as GANs and diffusion models.Despite these advances, exi…
TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models
Zhiwei Li, Yitian Pang, Weining Wang +2
Vision-Language Models (VLMs), such as CLIP, have achieved impressive zero-shot recognition performance but remain highly susceptible to adversarial perturbations, posing significa…
UniAlignment: Semantic Alignment for Unified Image Generation, Understanding, Manipulation and Perception
Xinyang Song, Libin Wang, Weining Wang +5
The remarkable success of diffusion models in text-to-image generation has sparked growing interest in expanding their capabilities to a variety of multi-modal tasks, including ima…
Exploring Task-Solving Paradigm for Generalized Cross-Domain Face Anti-Spoofing via Reinforcement Fine-Tuning
Fangling Jiang, Qi Li, Weining Wang +3
Recently the emergence of novel presentation attacks has drawn increasing attention to face anti-spoofing. However, existing methods tend to memorize data patterns from the trainin…
Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images
Fangling Jiang, Qi Li, Weining Wang +3
Face anti-spoofing is a critical technology for ensuring the security of face recognition systems. However, its ability to generalize across diverse scenarios remains a significant…