Distraction Detection in Automotive Environment using Appearance-based Gaze Estimation-Reference-Cited by-同舟云学术

Distraction Detection in Automotive Environment using Appearance-based Gaze Estimation

Published:2022-03-22 Issue: Volume: Page:
ISSN:
Container-title:27th International Conference on Intelligent User Interfaces
language:
Short-container-title:

Author:

L.R.D Murthy¹,Mukhopadhyay Abhishek²,Biswas Pradipta¹

Affiliation:

1. I3D Lab, Centre for Product Design and Manufacturing, Indian Institute of Science, India

2. Indian Institute of Science, India and Indian Institute of Information Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3490100.3516463

Reference22 articles.

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2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

3. Zhaokang Chen and Bertram E Shi . 2018 . Appearance-based gaze estimation using dilated-convolutions . In Asian Conference on Computer Vision. Springer, 309–324 . Zhaokang Chen and Bertram E Shi. 2018. Appearance-based gaze estimation using dilated-convolutions. In Asian Conference on Computer Vision. Springer, 309–324.

4. A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation

5. Gaze Estimation by Exploring Two-Eye Asymmetry

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