22 citations · 64 across the 9 of their papers we have counts for
8 papers · 1 filter
You Only Need One Stage: Novel-View Synthesis From A Single Blind Face Image
Taoyue Wang, Xiang Zhang, Xiaotian Li +2
We propose a novel one-stage method, NVB-Face, for generating consistent Novel-View images directly from a single Blind Face image. Existing approaches to novel-view synthesis for…
Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding
Xiang Zhang, Taoyue Wang, Xiaotian Li +2
Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for cont…
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis
Xiaotian Li, Xiang Zhang, Huiyuan Yang +3
Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change…
Your "Attention" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis
Xiaotian Li, Zhihua Li, Huiyuan Yang +2
Visual attention has been extensively studied for learning fine-grained features in both facial expression recognition (FER) and Action Unit (AU) detection. A broad range of previo…
Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers
Xiang Zhang, Lijun Yin
Multi-modal learning has been intensified in recent years, especially for applications in facial analysis and action unit detection whilst there still exist two main challenges in…
How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals
Umur Aybars Ciftci, Ilke Demir, Lijun Yin
Fake portrait video generation techniques have been posing a new threat to the society with photorealistic deep fakes for political propaganda, celebrity imitation, forged evidence…