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Found 6 papers, 2 papers with code
GenISP: Neural ISP for Low-Light Machine Cognition
We propose to improve generalization to unseen camera sensors by implementing a minimal neural ISP pipeline for machine cognition, named GenISP, that explicitly incorporates Color Space Transformation to a device-independent color space.
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
Accurate eye segmentation can improve eye-gaze estimation and support interactive computing based on visual attention; however, existing eye segmentation methods suffer from issues such as person-dependent accuracy, lack of robustness, and an inability to be run in real-time.
Ranked #1 on
Semantic Segmentation
on OpenEDS
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
We show that the proposed regularization method improves both binary and multi-class segmentation performance over the corresponding state-of-the-art CNN architectures on two publicly available cardiac cine MRI datasets, obtaining average dice coefficient of 0. 84$\pm$0. 03 and 0. 91$\pm$0. 04, respectively.
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases.
Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI
Magnetic Resonance Imaging (MRI) has evolved as a clinical standard-of-care imaging modality for cardiac morphology, function assessment, and guidance of cardiac interventions.
