WebGazer: Scalable Webcam Eye Tracking Using User Interactions
By A. Papoutsaki, Patsorn Sangkloy, James Laskey, N. Daskalova, Jeff Huang, James Hays. International Joint Conference on Artificial Intelligence, 2016
328 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/73fc8e9b1faf45855cceee197f094ca3c05afe1c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Amir Zadeh
- Louis-philippe Morency
- Percy Liang
- Soujanya Poria
- Akanksha Saran
- Tadas Baltrusaitis
- Ruohan Zhang
- Scott Niekum
Citations in the corpus
- Human Gaze Assisted Artificial Intelligence: A Review (2020, methodology): “Advanced tracking software has allowed real-time eye tracking on low-cost devices such as webcams [Papoutsaki et al. , 2016] and mobile tablets and phones [Huang et al. , 2017; Krafka et al. , 2016].”
- OpenFace 2.0: Facial Behavior Analysis Toolkit (2018, background): “There exist several recent free webcam eye gaze tracking projects [27], [71], [54], [68], but they struggle in real-world scenarios and often require cumbersome manual calibration steps.”