1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
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…
cs.LG2023★ 1 cited
Pseudo Labels Regularization for Imbalanced Partial-Label Learning
Mingyu Xu, Zheng Lian
Partial-label learning (PLL) is an important branch of weakly supervised learning where the single ground truth resides in a set of candidate labels, while the research rarely cons…
cs.LG2023★ 1 cited
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…