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hybrid-feature-fusion

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Developed by

https://arxiv.org/abs/2203.02489

Code repository

Created: 17/02/2022

Published: 10/04/2022


fair level

This software has a level 2 in FAIR practice.

Overview

PyTorch implementation of paper Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion by Dongxu Guo , Taylor Mordan and Alexandre Alahi. The project is conducted within École Polytechnique Fédérale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA).


Processing


Technical Details

Programming languages


Contact & Support

Authors & publications

Alexandre Alahi

EPFL

Dongxu Guo

None

Taylor Mordan

None

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A project by

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