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Delbrouck Jean-Benoit

Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle

Université de Mons - UMONS > Faculté Polytechnique > Information, Signal et Intelligence artificielle


Main Referenced Co-authors
Dupont, Stéphane  (12)
Seddati, Omar  (2)
Tits, Noé  (2)
Brousmiche, Mathilde  (1)
Hubens, Nathan  (1)
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (9)
Main Referenced Disciplines
Library & information sciences (12)
Computer science (2)

Publications (total 12)

The most downloaded
75 downloads
Delbrouck, J.-B., & Dupont, S. (2017). Modulating and attending the source image during encoding improves Multimodal Translation. Paper presented at NIPS 2017 Workshop on Visually-Grounded Interaction and Language (ViGIL), Long Beach, United States - California. https://hdl.handle.net/20.500.12907/42056
The most cited
21 citations (Scopus®)
Delbrouck, J.-B., Tits, N., Brousmiche, M., & Dupont, S. (2020). A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis. In Second Grand Challenge and Workshop on Multimodal Language - ACL 2020 (2020). -. doi:10.18653/v1/2020.challengehml-1.1 https://hdl.handle.net/20.500.12907/42328

Delbrouck, J.-B., Tits, N., & Dupont, S. (2020). Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition. In NLP Beyond Text (NLPBT) - EMNLP 2020 (2020). -.
Peer reviewed

Delbrouck, J.-B., Tits, N., Brousmiche, M., & Dupont, S. (2020). A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis. In Second Grand Challenge and Workshop on Multimodal Language - ACL 2020 (2020). -. doi:10.18653/v1/2020.challengehml-1.1
Peer reviewed

Delbrouck, J.-B., & Dupont, S. (2019). Adversarial reconstruction for Multi-modal Machine Translation. Eprint/Working paper retrieved from https://orbi.umons.ac.be/20.500.12907/42275.

Delbrouck, J.-B., Maiorca, A., Hubens, N., & Dupont, S. (2019). Modulated Self-attention Convolutional Network for VQA. In NeurIPS 2019 Workshop on Visually-Grounded Interaction and Language (ViGIL) (2019). -.
Peer reviewed

Delbrouck, J.-B., & Dupont, S. (2018). Object-oriented Targets for Visual Navigation using Rich Semantic Representations. In NIPS 2018 Workshop on Visually-Grounded Interaction and Language (ViGIL). -.
Peer reviewed

Delbrouck, J.-B., & Dupont, S. (30 October 2018). UMONS Submission for WMT18 Multimodal Translation Task. Paper presented at Third Conference on Machine Translation, Brussels, Belgium.
Peer reviewed

Delbrouck, J.-B., & Dupont, S. (2018). Bringing back simplicity and lightliness into neural image captioning. ArXiv e-prints.
Peer reviewed

Delbrouck, J.-B., & Dupont, S. (2017). Modulating and attending the source image during encoding improves Multimodal Translation. Paper presented at NIPS 2017 Workshop on Visually-Grounded Interaction and Language (ViGIL), Long Beach, United States - California.

Delbrouck, J.-B., & Dupont, S. (2017). An empirical study on the effectiveness of images in Multimodal Neural Machine Translation. Paper presented at Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark.

Delbrouck, J.-B., Dupont, S., & Seddati, O. (2017). Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation. Paper presented at GLU 2017 International Workshop on Grounding Language Understanding, Stockholm, Sweden.

Seddati, O., Delbrouck, J.-B., Dupont, S., & Mahmoudi, S. (25 April 2017). Deep Features for Big Data. Poster session presented at Journée scientifique du Pôle hainuyer 'Les données au coeur de notre devenir: les enjeux des big data, Tournai, e-campus, Belgium.

Delbrouck, J.-B., & Dupont, S. (2017). Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation. ArXiv e-prints.

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