4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.MA2025
GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
Zifeng Shi, Meiqin Liu, Senlin Zhang +3
In recent years, Model-based Multi-Agent Reinforcement Learning (MARL) has demonstrated significant advantages over model-free methods in terms of sample efficiency by using indepe…
cs.CV2024★ 4 cited
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
Xiuquan Hou, Meiqin Liu, Senlin Zhang +3
This paper presents a general scheme for enhancing the convergence and performance of DETR (DEtection TRansformer). We investigate the slow convergence problem in transformers from…
cs.CV2024★ 3 cited
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
Xiuquan Hou, Meiqin Liu, Senlin Zhang +2
DETR-like methods have significantly increased detection performance in an end-to-end manner. The mainstream two-stage frameworks of them perform dense self-attention and select a…