2 papers
cs.CV2025
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…
cs.CV2024
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…