Co Author Listing * 500,000 Images Closer to Eyelid and Pupil Segmentation
* Applicability of Cycle GANs for Pupil and Eyelid Segmentation, Data Generation and Image Refinement, The
* ExCuSe: Robust Pupil Detection in Real-World Scenarios
* Explainable Online Validation of Machine Learning Models for Practical Applications
* Fast and Robust Eyelid Outline and Aperture Detection in Real-World Scenarios
* Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
* MAM: Transfer Learning for Fully Automatic Video Annotation and Specialized Detector Creation
* Novel Methods for Analysis and Visualization of Saccade Trajectories
* Pupil detection for head-mounted eye tracking in the wild: An evaluation of the state of the art
* PuRe: Robust pupil detection for real-time pervasive eye tracking
Includes: Fuhl, W.[Wolfgang] Fuhl, W.
10 for Fuhl, W.
Index for "f"