VisionGuard functions as a standalone desktop application using a webcam to detect the user's gaze and estimate screen time. Leverages the Neural Processing Unit (NPU) of an AI PC for local inference.
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Updated
May 29, 2024
VisionGuard functions as a standalone desktop application using a webcam to detect the user's gaze and estimate screen time. Leverages the Neural Processing Unit (NPU) of an AI PC for local inference.
[TPAMI] Automatic Gaze Analysis ‘in-the-wild’: A Survey
A multimodal face liveness detection module that can be used in the context of face anti-spoofing
Engagement Intensity Prediction in Real TIme
This is the last Project in order to obtain the Intel Edge AI Nanodegree from Udacity, the objective is to create an application capable of moving the computer pointer using only the movement from the head and eyes.
Gaze tracking
An unofficial PyTorch implementation of MPIIGaze and MPIIFaceGaze
Gaze estimation from 2D image
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" accepted in IEEE Transactions on Artificial Intelligence
The project involves developing a method for robust, real-time pupil detection using computer vision techniques in OpenCV and Python, focusing on increasing accuracy and detection speed by reducing false edges from eyelids, eyelashes, and hair, and is suitable for integration into embedded architectures.
The official PyTorch implementation of L2CS-Net for gaze estimation and tracking
ONNX implementation of "NITEC: Versatile Hand-Annotated Eye Contact Dataset for Ego-Vision Interaction" https://github.com/thohemp/nitec
使用OpenCV部署眼睛凝视估计,包含C++和Python两个版本的程序,只依赖opencv库就可以运行,彻底摆脱对任何深度学习框架的依赖。
SeeSo(Eye-Tracking SDK) sample for Android
RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments
Gaze estimation using MPIIGaze and MPIIFaceGaze
SeeSo(Eye-Tracking SDK) Sample vanillaJS script.
【CVPR2023】GFIE: A Dataset and Baseline for Gaze-Following from 2D to 3D in Indoor Environments
We present SCENE-pathy, a dataset and a set of baselines to study the visual selective attention (VSA) of people towards the 3D scene in which they are located
This repository is the official implementation of GaTector, which studies the newly proposed task, gaze object prediction. In this work, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way. Particularly, a specific-general-specific (SGS) feature extractor is firstly proposed to utilize a shared…
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