This work proposes ATM-SLAM, a novel learning-based vSLAM framework that overcomes the intense visual interference under severe rainy conditions and enhances system robustness and collected the Severe Rainy SLAM Dataset (SR-SLAM), a large-scale real-world dataset, and plan to release it as a dedicated benchmark for eva...
Bao-Dong Chen, Wei Wang, Lang Wei et al.· Proceedings of the 32nd Annu...· 0 citations
CoOrbit is presented, a collaborative EO system that conserves onboard storage by retaining only changed and non-overlapping regions and achieves over 108.6× reduction in storage cost and 41.6× reduction in communication size compared to existing EO pipelines.
Rui-Chen Li, Yufan Wu, Zhengyi Hu et al.· Conference on Applications,...· 0 citations
Experimental results show that CritICL consistently outperforms standard in-context learning and achieves performance competitive with or superior to test-time scaling methods, while requiring significantly fewer generations and lower token cost.
Yu-Fan Wu, Ying-Hui He, Zhengyi Hu et al.· 1 citation
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