8 citations · 23 across the 16 of their papers we have counts for
18 papers
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,…
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…
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…
Toward Improving Robustness of Object Detectors Against Domain Shift
Le-Anh Tran, Chung Nguyen Tran, Dong-Chul Park +2
This paper proposes a data augmentation method for improving the robustness of driving object detectors against domain shift. Domain shift problem arises when there is a significan…
BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation
Juan Borrego-Carazo, Carles Sánchez, David Castells-Rufas +2
Vision-based bronchoscopy (VB) models require the registration of the virtual lung model with the frames from the video bronchoscopy to provide effective guidance during the biopsy…
OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras
David Castells-Rufas, Jordi Carrabina
Although event-based cameras are already commercially available. Vision algorithms based on them are still not common. As a consequence, there are few Hardware Accelerators for the…