29 citations · 59 across the 17 of their papers we have counts for
4 papers · 1 filter
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…
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…
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
Zheng Lian, Licai Sun, Haiyang Sun +5
Recently, GPT-4 with Vision (GPT-4V) has demonstrated remarkable visual capabilities across various tasks, but its performance in emotion recognition has not been fully evaluated.…
Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge
Haiyang Sun, Zheng Lian, Bin Liu +3
In this paper, we propose the solution to the Multi-Task Learning (MTL) Challenge of the 4th Affective Behavior Analysis in-the-wild (ABAW) competition. The task of ABAW is to pred…