5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 5 cited
Prototype-based Embedding Network for Scene Graph Generation
Chaofan Zheng, Xinyu Lyu, Lianli Gao +2
Current Scene Graph Generation (SGG) methods explore contextual information to predict relationships among entity pairs. However, due to the diverse visual appearance of numerous p…
cs.CV2022★ 3 cited
Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
Chaofan Zheng, Lianli Gao, Xinyu Lyu +3
The current studies of Scene Graph Generation (SGG) focus on solving the long-tailed problem for generating unbiased scene graphs. However, most de-biasing methods overemphasize th…
cs.CV2022
Learning To Generate Scene Graph from Head to Tail
Chaofan Zheng, Xinyu Lyu, Yuyu Guo +3
Scene Graph Generation (SGG) represents objects and their interactions with a graph structure. Recently, many works are devoted to solving the imbalanced problem in SGG. However, u…