RGB-X tracking leverages complementary modalities, such as thermal infrared, event, or depth, to improve robustness under challenging conditions. Existing general-purpose RGB-X trackers typically follow two paradigms: independent task-specific training and joint training across modality combinations. However, the forme...
Shiao Wang, Xiao Wang, Yuhe Ding et al.· 0 citations
X-ray image-based Radiology Report Generation (RRG) constitutes a critical research direction within medical artificial intelligence, with great potential to alleviate clinicians'diagnostic workload and shorten patient waiting periods. Despite substantial advances over recent years, the field faces evident bottlenecks...
Xiao Wang, Yu-Xiang Zhang, Dan Xu et al.· 0 citations
This work proposes a novel multi-modal heat conduction operation framework for effective activity recognition, termed MMHCO-HAR, and conducts comprehensive experiments comparing the proposed method with baseline methods on the HARDVS 2.0 dataset and other public datasets.
Shiao Wang, Xiao Wang, Bowei Jiang et al.· International Journal of Com...· 0 citations
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