29 citations · 31 across the 4 of their papers we have counts for
4 papers
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…
VRA: Variational Rectified Activation for Out-of-distribution Detection
Mingyu Xu, Zheng Lian, Bin Liu +1
Out-of-distribution (OOD) detection is critical to building reliable machine learning systems in the open world. Researchers have proposed various strategies to reduce model overco…
IRNet: Iterative Refinement Network for Noisy Partial Label Learning
Zheng Lian, Mingyu Xu, Lan Chen +4
Partial label learning (PLL) is a typical weakly supervised learning, where each sample is associated with a set of candidate labels. Its basic assumption is that the ground-truth…