'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation

1 code implementation • 3 Aug 2022 • Shreya Ghosh, Abhinav Dhall, Jarrod Knibbe, Munawar Hayat

Our proposed method reduces the annotation effort to as low as 2. 67%, with minimal impact on performance; indicating the potential of our model enabling gaze estimation 'in-the-wild' setup.

Gaze Estimation

AV-Gaze: A Study on the Effectiveness of Audio Guided Visual Attention Estimation for Non-Profilic Faces

1 code implementation • 7 Jul 2022 • Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe

In challenging real-life conditions such as extreme head-pose, occlusions, and low-resolution images where the visual information fails to estimate visual attention/gaze direction, audio signals could provide important and complementary information.

MTGLS: Multi-Task Gaze Estimation with Limited Supervision

no code implementations • 23 Oct 2021 • Shreya Ghosh, Munawar Hayat, Abhinav Dhall, Jarrod Knibbe

Our proposed framework outperforms the unsupervised state-of-the-art on CAVE (by 6. 43%) and even supervised state-of-the-art methods on Gaze360 (by 6. 59%) datasets.

Gaze Estimation

Automatic Gaze Analysis: A Survey of Deep Learning based Approaches

1 code implementation • 12 Aug 2021 • Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, Qiang Ji

Eye gaze analysis is an important research problem in the field of Computer Vision and Human-Computer Interaction.

Gaze Estimation