collaborators

5 papers

cs.CV2026

Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer Attention

Chaowen Yan, Kaishen Wang, Yong Wang +2

Oracle Bone Inscriptions (OBIs) recognition plays a crucial role in understanding ancient Chinese culture. However, accurately recognizing OBIs remains highly challenging due to th…

cs.CV2026

Enhancing Layer Interaction Using Key-Correlated Layer Attention

Jianlong Xiong, ChuanBo Xie, Le Yu +2

Recent advances in network architecture design have introduced layer attention to enhance inter-layer interactions. In such frameworks, each layer queries all preceding layers to e…

cs.CV2026

Spatio-Temporal Fusion Model for Standard View Classification of Echocardiographic Videos

Bo Gou, Jicheng Zhang, Jianlong Xiong +9

Automated classification of standard echocardiographic views is crucial for efficient clinical workflow but faces three main challenges. First, publicly available datasets are scar…

cs.CV2026

Enhancing Feature Fusion of U-like Networks with Dynamic Skip Connections

Yue Cao, Quansong He, Kaishen Wang +3

U-like networks have become fundamental frameworks in medical image segmentation through skip connections that bridge high-level semantics and low-level spatial details. Despite th…

cs.CV2026

HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models

Le Yu, Kaishen Wang, Jianlong Xiong +3

Though Large Vision-Language Models (LVLMs) have achieved remarkable performance across various tasks, they are still prone to hallucinations-generating outputs that are textually…