22 citations · 64 across the 7 of their papers we have counts for
7 papers
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…
The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation
Ambareesh Revanur, Zhihua Li, Umur A. Ciftci +2
Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of…
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…
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge
Michel F. Valstar, Enrique Sánchez-Lozano, Jeffrey F. Cohn +5
The field of Automatic Facial Expression Analysis has grown rapidly in recent years. However, despite progress in new approaches as well as benchmarking efforts, most evaluations s…