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One Eye is All You Need: Lightweight Ensembles for Gaze Estimation with
  Single Encoders

One Eye is All You Need: Lightweight Ensembles for Gaze Estimation with Single Encoders

22 November 2022
Rishi Athavale
Lakshmi Sritan Motati
Rohan Kalahasty
    CVBM
ArXivPDFHTML

Papers citing "One Eye is All You Need: Lightweight Ensembles for Gaze Estimation with Single Encoders"

5 / 5 papers shown
Title
FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality
FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality
Wenxuan Liu
Monde Duinkharjav
Qi Sun
Sai Qian Zhang
134
0
0
03 Jan 2025
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
Ahmed A. Abdelrahman
Thorsten Hempel
Aly Khalifa
A. Al-Hamadi
65
83
0
07 Mar 2022
Towards End-to-end Video-based Eye-Tracking
Towards End-to-end Video-based Eye-Tracking
Seonwook Park
Emre Aksan
Xucong Zhang
Otmar Hilliges
37
72
0
26 Jul 2020
Deep Network Ensemble Learning applied to Image Classification using CNN
  Trees
Deep Network Ensemble Learning applied to Image Classification using CNN Trees
A. M. Hafiz
G. M. Bhat
32
9
0
23 Jul 2020
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 2014
1