2 citations · 2 across the 4 of their papers we have counts for
4 papers
MemMamba: Rethinking Memory Patterns in State Space Model
Youjin Wang, Yangjingyi Chen, Jiahao Yan +2
With the explosive growth of data, long-sequence modeling has become increasingly important in tasks such as natural language processing and bioinformatics. However, existing metho…
AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition
Xuxiong Liu, Tengteng Dong, Fei Wang +2
Micro-expressions are typically regarded as unconscious manifestations of a person's genuine emotions. However, their short duration and subtle signals pose significant challenges…
Compound Expression Recognition via Multi Model Ensemble for the ABAW7 Challenge
Xuxiong Liu, Kang Shen, Jun Yao +6
Compound Expression Recognition (CER) is vital for effective interpersonal interactions. Human emotional expressions are inherently complex due to the presence of compound expressi…
ASM: Adaptive Sample Mining for In-The-Wild Facial Expression Recognition
Ziyang Zhang, Xiao Sun, Liuwei An +1
Given the similarity between facial expression categories, the presence of compound facial expressions, and the subjectivity of annotators, facial expression recognition (FER) data…