👀 | MobileGaze: Real-Time Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4 | In PyTorch >> ONNX Runtime Inference
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Updated
Nov 7, 2025 - Python
👀 | MobileGaze: Real-Time Gaze Estimation models using ResNet 18/34/50, MobileNet v2 and MobileOne s0-s4 | In PyTorch >> ONNX Runtime Inference
gaze tracking software
A tool for automatic annotation of human interaction videos with pose, face, emotion, speech & more.
Gaze estimation algorithms in C++ using laptop's camera as input and machine learning algorithms for the prediction of gaze's direction.
Framework for estimating human gaze in the wild and part of my Master's Degree thesis.
Official implementation of CXRGazeLearn
Multi-person eye-contact detection from single-camera videos for clinical and in-the-wild interaction scenarios
The formal implementation for SenSys2025 paper: SecureGaze: Defending Gaze Estimation Against Backdoor Attacks
A curated list of awesome gaze estimation frameworks, datasets and other awesomeness.
End to End Emotion tracker built with Open Face
The Gaze Correction Camera project is an advanced real-time gaze correction system designed to enhance video communication by improving eye contact. Leveraging state-of-the-art computer vision and deep learning techniques, this system dynamically adjusts the user's eye gaze direction during live video calls.
An application to assess the visual tracking in children with special needs
The formal implementation for IMWUT24 paper: PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services
A road safety oriented python program that detects and checks the gaze of a driver to make sure they are paying attention to the road and not being distracted, while also tracking the users heart rate in case of an emergency.
Eye Gaze Data Collection Tool for capturing and labeling eye gaze directions with real-time webcam integration. It also supports the collection of metadata, including lighting conditions and glasses usage, to enhance training data for deep learning models, enabling advanced gaze-based applications such as wheelchair control.
This repository contains the study and creation of models to detect the direction of gaze based on a dataset that provides the separate eyes of the same person. For this, different CNN models are used from scratch and MobileNetV2.
ONNX implementation of "NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction" https://github.com/thohemp/nitec
Gaze estimation from 2D image
Lightweight gaze estimation with PyTorch.
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