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L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED ENVIRONMENTS

Human gaze is a crucial cue used in various applications such as human-robot interaction and virtual reality. Recently, convolution neural network (CNN) approaches have made notable progress in predicting gaze direction.

Data and Resources

Cite this as

Ahmed A.Abdelrahman, Thorsten Hempel, Aly Khalifa, Ayoub Al-Hamadi (2024). Dataset: L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED ENVIRONMENTS. https://doi.org/10.57702/f6s3fno0

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2203.03339
Author Ahmed A.Abdelrahman
More Authors
Thorsten Hempel
Aly Khalifa
Ayoub Al-Hamadi
Homepage https://github.com/Ahmednull/L2CS-Net