3 papers
eess.IV2026
MetaFormer-driven Encoding Network for Robust Medical Semantic Segmentation
Le-Anh Tran, Chung Nguyen Tran, Nhan Cach Dang +4
Semantic segmentation is crucial for medical image analysis, enabling precise disease diagnosis and treatment planning. However, many advanced models employ complex architectures,…
cs.CV2025
Low-Light Enhancement via Encoder-Decoder Network with Illumination Guidance
Le-Anh Tran, Chung Nguyen Tran, Ngoc-Luu Nguyen +4
This paper introduces a novel deep learning framework for low-light image enhancement, named the Encoder-Decoder Network with Illumination Guidance (EDNIG). Building upon the U-Net…
physics.comp-ph2024
Capacitive Touch Sensor Modeling With a Physics-informed Neural Network and Maxwell's Equations
Ganyong Mo, Krishna Kumar Narayanan, David Castells-Rufas +1
Maxwell's equations are the fundamental equations for understanding electric and magnetic field interactions and play a crucial role in designing and optimizing sensor systems like…