3 papers
cs.CV2026
A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
Haodong Pan, Hao Wei, Yusong Wang +2
Learned image compression (LIC) has recently benefited from Transformer- and state space models (SSM)- based backbones for modeling long-range dependencies. However, the former typ…
cs.CV2025
Cascaded Robust Rectification for Arbitrary Document Images
Chaoyun Wang, Quanxin Huang, I-Chao Shen +3
Document rectification in real-world scenarios poses significant challenges due to extreme variations in camera perspectives and physical distortions. Driven by the insight that co…
cs.CV2025
Axis-Aligned Document Dewarping
Chaoyun Wang, I-Chao Shen, Takeo Igarashi +1
Document dewarping is crucial for many applications. However, existing learning-based methods rely heavily on supervised regression with annotated data without fully leveraging the…