82 citations · 234 across the 22 of their papers we have counts for
10 papers · 1 filter
The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields
Ziyuan Luo, Anderson Rocha, Boxin Shi +3
Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content representation. With the proliferation of NeRF-based creations, the need for copyright…
Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation
Chenqi Kong, Haoliang Li, Shiqi Wang
Nowadays, forgery faces pose pressing security concerns over fake news, fraud, impersonation, etc. Despite the demonstrated success in intra-domain face forgery detection, existing…
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning
Yibing Liu, Chris Xing Tian, Haoliang Li +1
Learning invariant representations via contrastive learning has seen state-of-the-art performance in domain generalization (DG). Despite such success, in this paper, we find that i…
Digital and Physical Face Attacks: Reviewing and One Step Further
Chenqi Kong, Shiqi Wang, Haoliang Li
With the rapid progress over the past five years, face authentication has become the most pervasive biometric recognition method. Thanks to the high-accuracy recognition performanc…
One-Class Knowledge Distillation for Face Presentation Attack Detection
Zhi Li, Rizhao Cai, Haoliang Li +3
Face presentation attack detection (PAD) has been extensively studied by research communities to enhance the security of face recognition systems. Although existing methods have ac…
Asymmetric Modality Translation For Face Presentation Attack Detection
Zhi Li, Haoliang Li, Xin Luo +3
Face presentation attack detection (PAD) is an essential measure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from bo…
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales
Chenqi Kong, Baoliang Chen, Haoliang Li +3
The technological advancements of deep learning have enabled sophisticated face manipulation schemes, raising severe trust issues and security concerns in modern society. Generally…
Camera Invariant Feature Learning for Generalized Face Anti-spoofing
Baoliang Chen, Wenhan Yang, Haoliang Li +2
There has been an increasing consensus in learning based face anti-spoofing that the divergence in terms of camera models is causing a large domain gap in real application scenario…
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, YuFei Wang, Renjie Wan +3
Recently, we have witnessed great progress in the field of medical imaging classification by adopting deep neural networks. However, the recent advanced models still require access…
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation
Baoliang Chen, Haoliang Li, Hongfei Fan +1
In this paper, we quest the capability of transferring the quality of natural scene images to the images that are not acquired by optical cameras (e.g., screen content images, SCIs…