4 papers
Depth-Aware Super-Resolution via Distance-Adaptive Variational Formulation
Tianhao Guo, Bingjie Lu, Feng Wang +1
Single image super-resolution traditionally assumes spatially-invariant degradation models, yet real-world imaging systems exhibit complex distance-dependent effects including atmo…
Predicting Asphalt Pavement Friction Using Texture-Based Image Indicator
Bingjie Lu, Zhengyang Lu, Yijiashun Qi +3
Pavement skid resistance is of vital importance for road safety. The objective of this study is to propose and validate a texture-based image indicator to predict pavement friction…
Differentiable NMS via Sinkhorn Matching for End-to-End Fabric Defect Detection
Zhengyang Lu, Bingjie Lu, Weifan Wang +1
Fabric defect detection confronts two fundamental challenges. First, conventional non-maximum suppression disrupts gradient flow, which hinders genuine end-to-end learning. Second,…
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference
Zhengyang Lu, Bingjie Lu, Feng Wang
Physical and optical factors interacting with sensor characteristics create complex image degradation patterns. Despite advances in deep learning-based super-resolution, existing m…