7 citations · 7 across the 4 of their papers we have counts for
5 papers
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong, Zhixiong Yang, Shengxi Li +4
Low-light image enhancement (LLIE) faces persistent challenges in balancing reconstruction fidelity with cross-scenario generalization. While existing methods predominantly focus o…
GDROS: A Geometry-Guided Dense Registration Framework for Optical-SAR Images under Large Geometric Transformations
Zixuan Sun, Shuaifeng Zhi, Ruize Li +3
Registration of optical and synthetic aperture radar (SAR) remote sensing images serves as a critical foundation for image fusion and visual navigation tasks. This task is particul…
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation
Shuzhou Sun, Li Liu, Tianpeng Liu +4
Existing two-stage Scene Graph Generation (SGG) frameworks typically incorporate a detector to extract relationship features and a classifier to categorize these relationships; the…
A Causal Adjustment Module for Debiasing Scene Graph Generation
Li Liu, Shuzhou Sun, Shuaifeng Zhi +4
While recent debiasing methods for Scene Graph Generation (SGG) have shown impressive performance, these efforts often attribute model bias solely to the long-tail distribution of…
MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priors
Zhenhua Du, Binbin Xu, Haoyu Zhang +2
Accurately reconstructing dense and semantically annotated 3D meshes from monocular images remains a challenging task due to the lack of geometry guidance and imperfect view-depend…