Jean-Benoit Delbrouck

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Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition

This paper aims to bring a new lightweight yet powerful solution for the...
10/05/2020 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

Understanding expressed sentiment and emotions are two crucial factors i...
06/29/2020 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Can adversarial training learn image captioning ?

Recently, generative adversarial networks (GAN) have gathered a lot of i...
10/31/2019 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Modulated Self-attention Convolutional Network for VQA

As new data-sets for real-world visual reasoning and compositional quest...
10/08/2019 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Adversarial reconstruction for Multi-modal Machine Translation

Even with the growing interest in problems at the intersection of Comput...
10/07/2019 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Object-oriented Targets for Visual Navigation using Rich Semantic Representations

When searching for an object humans navigate through a scene using seman...
11/22/2018 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Bringing back simplicity and lightliness into neural image captioning

Neural Image Captioning (NIC) or neural caption generation has attracted...
10/15/2018 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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UMONS Submission for WMT18 Multimodal Translation Task

This paper describes the UMONS solution for the Multimodal Machine Trans...
10/15/2018 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Transformer for Emotion Recognition

This paper describes the UMONS solution for the OMG-Emotion Challenge. W...
05/03/2018 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Modulating and attending the source image during encoding improves Multimodal Translation

We propose a new and fully end-to-end approach for multimodal translatio...
12/09/2017 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation

In Multimodal Neural Machine Translation (MNMT), a neural model generate...
07/04/2017 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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An empirical study on the effectiveness of images in Multimodal Neural Machine Translation

In state-of-the-art Neural Machine Translation (NMT), an attention mecha...
07/04/2017 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation

In state-of-the-art Neural Machine Translation, an attention mechanism i...
03/23/2017 ∙ by Jean-Benoit Delbrouck, et al. ∙ 0 ∙ share

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