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Hongjun Chen

2 accepted papers

2022

Multi-Agent Path Finding with Prioritized Communication Learning

ICRA 2022poster

Multi-agent pathfinding (MAPF) has been widely used to solve large-scale real-world problems, e.g., automation warehouses. The learning-based, fully decentralized framework has been introduced to alleviate real-time problems and simultaneously pursue optimal planning policy. However, existing method…

Cited by 57SourcecodeScholar
2021

Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation

ICCV 2021poster

Annotation burden has become one of the biggest barriers to semantic segmentation. Approaches based on click-level annotations have therefore attracted increasing attention due to their superior trade-off between supervision and annotation cost. In this paper, we propose seminar learning, a new lear…

Cited by 41PDFScholar