🔥 News
- 2025.10: 🎉 New paper Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data is accepted by TAFFC.
- 2025.09: 🎉 S2D has been recognized as a Highly Cited Paper by Web of Science (Top 1%)
- 2024.09: 🎉 New paper DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation is accepted by MM2024.
- 2024.08: 🎉 One paper From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos is accepted by TAFFC.