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Author: Cadene

README.md

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 # Visual Question Answering in pytorch
 
-This repo was made by [Remi Cadene](http://remicadene.com) and [Hedi Ben-Younes](https://twitter.com/labegne), two PhD Students working on VQA at [UPMC-LIP6](http://lip6.fr). We developped this code in the frame of a research paper called [MUTAN: Multimodal Tucker Fusion for VQA](https://arxiv.org/abs/1705.06676) which is (as far as we know) the current state-of-the-art on the [VQA-1 dataset](http://visualqa.org).
+This repo was made by [Remi Cadene](http://remicadene.com) (LIP6) and [Hedi Ben-Younes](https://twitter.com/labegne) (LIP6-Heuritech), two PhD Students working on VQA at [UPMC-LIP6](http://lip6.fr) and their professors [Matthieu Cord](http://webia.lip6.fr/~cord) (LIP6) and [Nicolas Thome](http://webia.lip6.fr/~thomen) (LIP6-CNAM). We developped this code in the frame of a research paper called [MUTAN: Multimodal Tucker Fusion for VQA](https://arxiv.org/abs/1705.06676) which is (as far as we know) the current state-of-the-art on the [VQA-1 dataset](http://visualqa.org).
 
 The goal of this repo is two folds:
 - to make it easier to reproduce our results,