29 citations · 34 across the 9 of their papers we have counts for
5 papers · 1 filter
AffectGPT: Dataset and Framework for Explainable Multimodal Emotion Recognition
Zheng Lian, Haiyang Sun, Licai Sun +3
Explainable Multimodal Emotion Recognition (EMER) is an emerging task that aims to achieve reliable and accurate emotion recognition. However, due to the high annotation cost, the…
MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
Zheng Lian, Haiyang Sun, Licai Sun +15
Multimodal emotion recognition is an important research topic in artificial intelligence. Over the past few decades, researchers have made remarkable progress by increasing the dat…
Multimodal Fusion with Pre-Trained Model Features in Affective Behaviour Analysis In-the-wild
Zhuofan Wen, Fengyu Zhang, Siyuan Zhang +6
Multimodal fusion is a significant method for most multimodal tasks. With the recent surge in the number of large pre-trained models, combining both multimodal fusion methods and p…
Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning
Kang Chen, Zheng Lian, Haiyang Sun +4
Deception detection has attracted increasing attention due to its importance in real-world scenarios. Its main goal is to detect deceptive behaviors from multimodal clues such as g…
SVFAP: Self-supervised Video Facial Affect Perceiver
Licai Sun, Zheng Lian, Kexin Wang +5
Video-based facial affect analysis has recently attracted increasing attention owing to its critical role in human-computer interaction. Previous studies mainly focus on developing…