12 citations · 16 across the 4 of their papers we have counts for
4 papers
Decomposed Prototype Learning for Few-Shot Scene Graph Generation
Xingchen Li, Jun Xiao, Guikun Chen +4
Today's scene graph generation (SGG) models typically require abundant manual annotations to learn new predicate types. Therefore, it is difficult to apply them to real-world appli…
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation
Xingchen Li, Long Chen, Wenbo Ma +2
Recently, increasing efforts have been focused on Weakly Supervised Scene Graph Generation (WSSGG). The mainstream solution for WSSGG typically follows the same pipeline: they firs…
Rethinking the Evaluation of Unbiased Scene Graph Generation
Xingchen Li, Long Chen, Jian Shao +3
Current Scene Graph Generation (SGG) methods tend to predict frequent predicate categories and fail to recognize rare ones due to the severe imbalanced distribution of predicates.…
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
Xingchen Li, Xiang Wang, Xiangnan He +3
Fashion outfit recommendation has attracted increasing attentions from online shopping services and fashion communities.Distinct from other scenarios (e.g., social networking or co…