fabienbaradel / object_level_visual_reasoning

Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
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computer-vision eccv-2018 human-object-interaction video-understanding

Object level Visual Reasoning in Videos

This repository contains a Pytorch implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori, In ECCV 2018.

Links: Project page | Camera-ready | Complementary Mask Data

Code

We release code for training and testing our implementation. We encourage you to follow the steps below:

Masks

Please visit the following website for downloading the mask predictions.

Requirements

Citation

If you find this paper or our implementation useful for your research or if you use the precomputed masks, please cite our paper.

@InProceedings{Baradel_2018_ECCV,
author = {Baradel, Fabien and Neverova, Natalia and Wolf, Christian and Mille, Julien and Mori, Greg},
title = {Object Level Visual Reasoning in Videos},
booktitle = {ECCV},
year = {2018}
}

Acknowledgements

This work was funded by grant Deepvision (ANR-15- CE23-0029, STPGP-479356-15), a joint French/Canadian call by ANR & NSERC.

Licence

MIT License