The following publications are possibly variants of this publication:
- Adaptive Fusion Attention Network for Facial Expression RecognitionGuodong Li, Cheng Peng, Kun Zou, Bowen Zhang. iccpr 2023: 260-264 [doi]
- Attention-Based Global-Local Graph Learning for Dynamic Facial Expression RecognitionNingwei Xie, Jie Li, Meng Guo, Lei Yang, Yafei Gong. icig 2023: 3-15 [doi]
- A joint hierarchical cross-attention graph convolutional network for multi-modal facial expression recognitionChujie Xu, Yong Du, Jingzi Wang, Wenjie Zheng, Tiejun Li, Zhansheng Yuan. ci, 40(1), February 2024. [doi]
- Multimodal Attention Dynamic Fusion Network for Facial Micro-Expression RecognitionHongling Yang, Lun Xie, Hang Pan 0001, Chiqin Li, Zhiliang Wang, Jialiang Zhong. entropy, 25(9):1246, September 2023. [doi]
- A multi-scale multi-attention network for dynamic facial expression recognitionXiaohan Xia, Le Yang, Xiaoyong Wei, Hichem Sahli, Dongmei Jiang. mms, 28(2):479-493, 2022. [doi]
- Adaptive Multilayer Perceptual Attention Network for Facial Expression RecognitionHanwei Liu, Huiling Cai, Qingcheng Lin, Xuefeng Li, Hui Xiao. tcsv, 32(9):6253-6266, 2022. [doi]
- Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression RecognitionFahong Wang, Zhao Liu, Jie Lei 0002, Zeyu Zou, Wentao Han, Juan Xu, Xuan Li, Zunlei Feng, Ronghua Liang. mmm 2024: 42-55 [doi]
- Facial Expression Recognition With Deeply-Supervised Attention NetworkYingruo Fan, Victor O. K. Li, Jacqueline C. K. Lam. taffco, 13(2):1057-1071, 2022. [doi]