5 papers
HyTBE: Hyperbolic Target-Background Expert Model for Cross-Domain Infrared Small Target Detection
Aohua Li, Jin Kuang, Yubing Lu +1
Infrared small target detection (IRSTD) has achieved substantial progress under domain-consistent evaluation, yet detector performance often degrades markedly when generalizing to…
RPCASSM: Robust PCA State Space Model For Infrared Small Target Detection
Pingping Liu, Aohua Li, Yubing Lu +3
The detection and segmentation of infrared small targets have important application significance in the fields of surveillance and security, maritime rescue and so on. Due to the l…
BSMamba: Brightness and Semantic Modeling for Long-Range Interaction in Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu, Mengen Cai +3
Current low-light image enhancement (LLIE) methods face significant limitations in simultaneously improving brightness while preserving semantic consistency, fine details, and comp…
CWNet: Causal Wavelet Network for Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu, Yubing Lu +4
Traditional Low-Light Image Enhancement (LLIE) methods primarily focus on uniform brightness adjustment, often neglecting instance-level semantic information and the inherent chara…
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks
Jiazhu Dai, Yubing Lu
Graph neural networks (GNNs) are widely used for graph-structured data but are vulnerable to membership inference attacks (MIAs) in graph classification tasks, which determine if a…