Where are they looking?
This repository contains an implementation of the "Where are they looking?" paper by A. Recasens*, A. Khosla*, C. Vondrick and A. Torralba.
Introduction
A deep neural network-based approach for gaze-following automated using a SSD face detector.
Installation
Pretrained Models
- Pretrained Places365 AlexNet model: https://drive.google.com/file/d/13h7bYEht2poZ7vD_HgzA7ggSPi0cmSBg/view?usp=sharing
- Pretrained Complete GazeNet model: Coming soon!
Usage
python3 main.py --data_dir=location to gazefollow dataset --placesmodelpath=location to places365 alexnet model
- Please check out opts.py for other parameter changing.
Contact
Please do get in touch with us by email for any questions, comments, suggestions you have!
References
- sfzhang15's SFD detector is used for face detection (https://github.com/sfzhang15/SFD).
- Link to the NIPS 2015 paper from MIT: http://people.csail.mit.edu/khosla/papers/nips2015_recasens.pdf. Please cite them if you decide to use this project for your research.