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Human gaze is a crucial cue used in various applications such as human-robot interaction and virtual reality.
“Sparse and semi-supervised visual mapping with the sˆ 3gp,”
Oliver Williams, Andrew Blake, and Roberto Cipolla, · 2006
Earlier work this paper cites.
“Vision-based attention estimation and selection for social robot to perform natural interaction in the open world,”
Liyuan Li, Xinguo Yu, Jun Li, Gang Wang, Ji-Yu Shi, Yeow Kee Tan, and Haizhou Li, · 2012
Earlier work this paper cites.
“Adaptive linear regression for appearance-based gaze estimation,”
Feng Lu, Yusuke Sugano, Takahiro Okabe, and Yoichi Sato, · 2014
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“Towards foveated rendering for gaze-tracked virtual reality,”
Anjul Patney, Marco Salvi, Joohwan Kim, Anton Kaplanyan, Chris Wyman, Nir Benty, David Luebke, and Aaron Lefohn, · 2016
Earlier work this paper cites.
“Eye tracking for everyone,”
Kyle Krafka, Aditya Khosla, Petr Kellnhofer, Harini Kannan, Suchendra Bhandarkar, Wojciech Matusik, and Antonio Torralba, · 2016
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“Mpiigaze: Real-world dataset and deep appearance-based gaze estimation,”
Xucong Zhang, Yusuke Sugano, Mario Fritz, and Andreas Bulling, · 2017
Earlier work this paper cites.
“It’s written all over your face: Full-face appearance-based gaze estimation,”
Xucong Zhang, Yusuke Sugano, Mario Fritz, and Andreas Bulling, · 2017
Earlier work this paper cites.
“Appearance-based gaze estimation using dilated-convolutions,”
Zhaokang Chen and Bertram E Shi, · 2018
Cited alongside, same era.
“Rt-gene: Real-time eye gaze estimation in natural environments,”
Tobias Fischer, Hyung Jin Chang, and Yiannis Demiris, · 2018
Cited alongside, same era.
“Gaze360: Physically unconstrained gaze estimation in the wild,”
Petr Kellnhofer, Adria Recasens, Simon Stent, Wojciech Matusik, and Antonio Torralba, · 2019
Cited alongside, same era.
“Mixed effects neural networks (menets) with applications to gaze estimation,”
Yunyang Xiong, Hyunwoo J Kim, and Vikas Singh, · 2019
Cited alongside, same era.
“Generalizing eye tracking with bayesian adversarial learning,”
Kang Wang, Rui Zhao, Hui Su, and Qiang Ji, · 2019
Cited alongside, same era.
“Slam-based multistate tracking system for mobile human-robot interaction,”
Thorsten Hempel and Ayoub Al-Hamadi, · 2020
“Gaze estimation with multi-scale channel and spatial attention,”
Song Liu, Danping Liu, and Haiyang Wu, · 2020
Later among the works it cites.
“Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation,”
Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang, and Otmar Hilliges, · 2020
Later among the works it cites.
“Geddnet: A network for gaze estimation with dilation and decomposition,”
Zhaokang Chen and Bertram E Shi, · 2020
Later among the works it cites.
“Gaze estimation by exploring two-eye asymmetry,”
Yihua Cheng, Xucong Zhang, Feng Lu, and Yoichi Sato, · 2020
Later among the works it cites.
“Appearance-based gaze estimation using attention and difference mechanism,”
Pradipta Biswas et al., · 2021
Later among the works it cites.
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Cited alongside, same era.
“A coarse-to-fine adaptive network for appearance-based gaze estimation,”
Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, and Feng Lu, · 2020
Cited alongside, same era.
Yihua Cheng, Haofei Wang, Yiwei Bao, and Feng Lu, · 2021
Later among the works it cites.
“Robot system assistant (rosa): Towards intuitive multi-modal and multi-device human-robot interaction,”
Dominykas Strazdas, Jan Hintz, Aly Khalifa, Ahmed A Abdelrahman, Thorsten Hempel, and Ayoub Al-Hamadi, · 2022
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