代表性论文
[1] Wu L, Tian M,Xiang Y*, et al. Learning label semantics for weakly supervised group activity recognition[J]. IEEE Transactions on Multimedia, 2024. (一区,IF: 8.4)
[2] Wu L, Lang X,Xiang Y*, et al. Active spatial positions based hierarchical relation inference for group activity recognition [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022. (一区,IF: 8.3)
[3] Yuchen Yang,Ye Xiang, Shuaicheng Liu, Lifang Wu*, Boxuan Zhao, Bing Zeng. GLM-Net: Global and local motion estimation via task-oriented encoder-decoder structure [C]. ACM International Conference on Multimedia, 2021. (CCF A类)
[4]Ye Xiang, Ying Fu*, Pan Ji, Hua Huang. Incremental learning using conditional adversarial networks [C]. International Conference on Computer Vision, 2019. (CCF A类)
[5] Tian M,Xiang Y, Wu L. Exploring Spatio-Temporal Discriminative Cues for Group Activity Recognition Via Contrastive Learning[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 3710-3714.(4) (领域顶会,教师第一作者)
[6]Ye Xiang, Ying Fu*, Hua Huang. Global topology constraint network for fine-grained vehicle recognition [J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 21(7): 2918-2929. (一区,IF: 6.492)
[7]Ye Xiang, Ying Fu*, Hua Huang. Global relative position space based pooling for fine-grained vehicle recognition [J]. Neurocomputing, 2019, 367: 287298. (二区,IF: 5.719)