Search Results for author: Chunmao Wang

Found 8 papers, 1 papers with code

Multi-Scale Wavelet Transformer for Face Forgery Detection

no code implementations8 Oct 2022 Jie Liu, Jingjing Wang, Peng Zhang, Chunmao Wang, Di Xie, ShiLiang Pu

To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection.

Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection

no code implementations1 Apr 2022 Yachun Li, Ying Lian, Jingjing Wang, Yuhui Chen, Chunmao Wang, ShiLiang Pu

We thus define a new domain adaptation setting called Few-shot One-class Domain Adaptation (FODA), where adaptation only relies on a limited number of target bonafide samples.

Domain Adaptation Iris Recognition

Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing

no code implementations21 Feb 2022 Ying Bian, Peng Zhang, Jingjing Wang, Chunmao Wang, ShiLiang Pu

However, many other generalizable cues are unexplored for face anti-spoofing, which limits their performance under cross-dataset testing.

Face Anti-Spoofing

Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition

no code implementations30 Jul 2021 Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

Based on these two self-supervised auxiliary tasks, local features, mutual relation and motion cues of AUs are better captured in the backbone network with the proposed regional and temporal based auxiliary task learning (RTATL) framework.

Facial Action Unit Detection Optical Flow Estimation

Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition

no code implementations24 Feb 2021 Jingwei Yan, Boyuan Jiang, Jingjing Wang, Qiang Li, Chunmao Wang, ShiLiang Pu

In order to incorporate the intra-level AU relation and inter-level AU regional relevance simultaneously, a multi-level AU relation graph is constructed and graph convolution is performed to further enhance AU regional features of each level.

Facial Action Unit Detection Graph Learning

Self-Domain Adaptation for Face Anti-Spoofing

no code implementations24 Feb 2021 Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, ShiLiang Pu

In this paper, we propose a self-domain adaptation framework to leverage the unlabeled test domain data at inference.

Domain Generalization Face Anti-Spoofing +1

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