activity
20192025
most citedDRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing

98 citations · 114 across the 8 of their papers we have counts for

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14 papers · 1 filter

cs.CV20251 cited

AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution

Cecelia Soh, Rizhao Cai, Monalisha Paul +2

Skin health and disease resistance are closely linked to the skin barrier function, which protects against environmental factors and water loss. Two key physiological indicators ca…

cs.CV2024

Towards Data-Centric Face Anti-Spoofing: Improving Cross-domain Generalization via Physics-based Data Synthesis

Rizhao Cai, Cecelia Soh, Zitong Yu +3

Face Anti-Spoofing (FAS) research is challenged by the cross-domain problem, where there is a domain gap between the training and testing data. While recent FAS works are mainly mo…

cs.CV2024

Controllable and Gradual Facial Blemishes Retouching via Physics-Based Modelling

Chenhao Shuai, Rizhao Cai, Bandara Dissanayake +5

Face retouching aims to remove facial blemishes, such as pigmentation and acne, and still retain fine-grain texture details. Nevertheless, existing methods just remove the blemishe…

cs.CV2024

Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing

Xun Lin, Shuai Wang, Rizhao Cai +5

Face Anti-Spoofing (FAS) is crucial for securing face recognition systems against presentation attacks. With advancements in sensor manufacture and multi-modal learning techniques,…

cs.CV2023

BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

Rizhao Cai, Zirui Song, Dayan Guan +4

Large Multimodal Models (LMMs) such as GPT-4V and LLaVA have shown remarkable capabilities in visual reasoning with common image styles. However, their robustness against diverse s…

cs.CV2023

Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer

Anwei Luo, Rizhao Cai, Chenqi Kong +4

With the rapid progress of generative models, the current challenge in face forgery detection is how to effectively detect realistic manipulated faces from different unseen domains…