Gaze Estimation

68 papers with code • 9 benchmarks • 16 datasets

Gaze Estimation is a task to predict where a person is looking at given the person’s full face. The task contains two directions: 3-D gaze vector and 2-D gaze position estimation. 3-D gaze vector estimation is to predict the gaze vector, which is usually used in the automotive safety. 2-D gaze position estimation is to predict the horizontal and vertical coordinates on a 2-D screen, which allows utilizing gaze point to control a cursor for human-machine interaction.

Source: A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone

Most implemented papers

Fine-Grained Head Pose Estimation Without Keypoints

natanielruiz/deep-head-pose 2 Oct 2017

Estimating the head pose of a person is a crucial problem that has a large amount of applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video and performing face alignment.

Learning from Simulated and Unsupervised Images through Adversarial Training

carpedm20/simulated-unsupervised-tensorflow CVPR 2017

With recent progress in graphics, it has become more tractable to train models on synthetic images, potentially avoiding the need for expensive annotations.

Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

yihuacheng/Gaze-Net 26 Apr 2021

However, it lacks a guideline for designing deep learning algorithms for gaze estimation tasks.

Appearance-Based Gaze Estimation in the Wild

hysts/pytorch_mpiigaze CVPR 2015

Appearance-based gaze estimation is believed to work well in real-world settings, but existing datasets have been collected under controlled laboratory conditions and methods have been not evaluated across multiple datasets.

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

hysts/pytorch_mpiigaze 24 Nov 2017

Second, we present an extensive evaluation of state-of-the-art gaze estimation methods on three current datasets, including MPIIGaze.

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

hysts/pytorch_mpiigaze 27 Nov 2016

Eye gaze is an important non-verbal cue for human affect analysis.

3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views

vagver/3dgazenet 6 Dec 2022

To close the gap between image domains, we create a large-scale dataset of diverse faces with gaze pseudo-annotations, which we extract based on the 3D geometry of the scene, and design a multi-view supervision framework to balance their effect during training.

Eye Tracking for Everyone

CSAILVision/GazeCapture CVPR 2016

We believe that we can put the power of eye tracking in everyone's palm by building eye tracking software that works on commodity hardware such as mobile phones and tablets, without the need for additional sensors or devices.

Faster gaze prediction with dense networks and Fisher pruning

the-super-toys/glimpse-models Twitter 2018

Predicting human fixations from images has recently seen large improvements by leveraging deep representations which were pretrained for object recognition.

Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues

crisie/RecurrentGaze 8 May 2018

Gaze behavior is an important non-verbal cue in social signal processing and human-computer interaction.