22 citations · 64 across the 10 of their papers we have counts for
10 papers
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…
Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection
Xiang Zhang, Huiyuan Yang, Taoyue Wang +2
Recent studies have focused on utilizing multi-modal data to develop robust models for facial Action Unit (AU) detection. However, the heterogeneity of multi-modal data poses chall…
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…
EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection
Wei Li, Farnaz Abtahi, Zhigang Zhu +1
In this paper, we propose a deep learning based approach for facial action unit detection by enhancing and cropping the regions of interest. The approach is implemented by adding t…