Scanpath Prediction on 360 degree Images using deep learning
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Updated
Apr 25, 2018 - Jupyter Notebook
Scanpath Prediction on 360 degree Images using deep learning
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
Generate synthetic eye-tracking data using deep learning and ACT-R cognitive model
Web app which allows users to view and evaluate previously collected eyetracking data
Eye tracking - Saccade and fixation algorithm detection and analysis
Official CVPR 2026 implementation of RL-ScanIQA for blind 360-degree image quality assessment (pp. 37401-37412).
Import, Inspect, Analyse, and Report Gazepoint GP3 Exports
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