Disentanglement Translation Network for multimodal sentiment analysis
Obtaining an effective joint representation has always been the goal for multimodal tasks.
However, distributional gap inevitably exists due to the heterogeneous nature of different …
However, distributional gap inevitably exists due to the heterogeneous nature of different …
Face spoofing detection based on multi-scale color inversion dual-stream convolutional neural network
X Shu, X Li, X Zuo, D Xu, J Shi - Expert Systems with Applications, 2023 - Elsevier
Currently, face recognition technology (FRT) has been applied ubiquitously. However, due
to the abuse of personal face photos on social media, FRT has encountered unprecedented …
to the abuse of personal face photos on social media, FRT has encountered unprecedented …
S-adapter: Generalizing vision transformer for face anti-spoofing with statistical tokens
Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition
system by presenting spoofed faces. State-of-the-art FAS techniques predominantly rely on …
system by presenting spoofed faces. State-of-the-art FAS techniques predominantly rely on …
Unmasking Deception: A Comprehensive Survey on the Evolution of Face Anti-spoofing Methods
With the growing popularity of facial recognition (FR) in access control systems, there has
been a corresponding increase in presentation attacks (PAs) to gain unauthorized access …
been a corresponding increase in presentation attacks (PAs) to gain unauthorized access …
Semantic disentanglement adversarial hashing for cross-modal retrieval
Cross-modal hashing has gained considerable attention in cross-modal retrieval due to its
low storage cost and prominent computational efficiency. However, preserving more …
low storage cost and prominent computational efficiency. However, preserving more …
HRInversion: High-resolution GAN inversion for cross-domain image synthesis
We investigate GAN inversion problems of using pre-trained GANs to reconstruct real
images. Recent methods for such problems typically employ a VGG perceptual loss to …
images. Recent methods for such problems typically employ a VGG perceptual loss to …
Instance paradigm contrastive learning for domain generalization
Z Chen, W Wang, Z Zhao, F Su, A Men… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Domain Generalization (DG) aims to develop models that can learn from data in source
domains and generalize to unseen target domains. Recently, some domain generalization …
domains and generalize to unseen target domains. Recently, some domain generalization …
Dynamic residual distillation network for face anti-spoofing with feature attention learning
Y He, F Peng, M Long - IEEE Transactions on Biometrics …, 2023 - ieeexplore.ieee.org
Currently, most face anti-spoofing methods target the generalization problem by relying on
auxiliary information such as additional annotations and modalities. However, this auxiliary …
auxiliary information such as additional annotations and modalities. However, this auxiliary …
DFIE3D: 3D-Aware Disentangled Face Inversion and Editing Via Facial-contrastive Learning
Recent advances in NeRF-based 3D-aware GANs have achieved outstanding performance,
especially in the realm of human facial representations, making projection of facial images …
especially in the realm of human facial representations, making projection of facial images …
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics
Recent face presentation attack detection (PAD) leverages domain adaptation (DA) and
domain generalization (DG) techniques to address performance degradation on unknown …
domain generalization (DG) techniques to address performance degradation on unknown …