11 papers
FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification
Pingping Liu, Muyao Wang, Zijian Zhang +5
Multivariate Time Series Classification (MTSC) demands models that can effectively capture complex temporal patterns across multiple scales while remaining computationally efficien…
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…
A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu, Yuqing Lei +3
Limited illumination often causes severe physical noise and detail degradation in images. Existing Low-Light Image Enhancement (LLIE) methods frequently treat the enhancement proce…
SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
Ming Zhao, Wenhui Dong, Yang Zhang +23
Spine disorders affect 619 million people globally and are a leading cause of disability, yet AI-assisted diagnosis remains limited by the lack of level-aware, multimodal datasets.…
WEC-DG: Multi-Exposure Wavelet Correction Method Guided by Degradation Description
Ming Zhao, Pingping Liu, Tongshun Zhang +1
Multi-exposure correction technology is essential for restoring images affected by insufficient or excessive lighting, enhancing the visual experience by improving brightness, cont…
SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration
Tongshun Zhang, Pingling Liu, Zijian Zhang +1
Current dark image restoration methods suffer from severe efficiency bottlenecks, primarily stemming from: (1) computational burden and error correction costs associated with relia…