Yong Yang

LCASP-MMANet: A lightweight network with pyramid and multimodal enhancements for sign language recognition

The proposed LCASP-MMANet framework provides an effective balance between accuracy, robustness, and computational efficiency for sign language recognition, and competitive results on the VOC benchmark demonstrate strong generalization capability.

Hypergraph normal world modeling for normal-only logical visual anomaly detection

Attention-based appearance reconstruction for remote sensing small object detection with UAV imagery

Results verify that AARM effectively enhances the representation of small objects in complex remote sensing conditions of UAVs and achieves stable improvements in detection accuracy while maintaining high inference speed.