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09/14/2023
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Sifting through vast textual data and summarizing key information impose...
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08/22/2023
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
Vision-language models (VLMs), such as CLIP and ALIGN, are generally tra...
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05/02/2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
We systematically investigate lightweight strategies to adapt large lang...
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11/23/2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Multimodal models trained on large natural image-text pair datasets have...
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11/15/2022
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
Radiology report summarization is a growing area of research. Given the ...
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10/21/2022
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards
Neural image-to-text radiology report generation systems offer the poten...
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03/24/2022
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Machine learning models that achieve high overall accuracy often make sy...
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10/05/2020
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
This paper aims to bring a new lightweight yet powerful solution for the...
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06/29/2020
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
Understanding expressed sentiment and emotions are two crucial factors i...
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10/31/2019
Can adversarial training learn image captioning ?
Recently, generative adversarial networks (GAN) have gathered a lot of i...
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10/08/2019
Modulated Self-attention Convolutional Network for VQA
As new data-sets for real-world visual reasoning and compositional quest...
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10/07/2019
Adversarial reconstruction for Multi-modal Machine Translation
Even with the growing interest in problems at the intersection of Comput...
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11/22/2018
Object-oriented Targets for Visual Navigation using Rich Semantic Representations
When searching for an object humans navigate through a scene using seman...
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10/15/2018
Bringing back simplicity and lightliness into neural image captioning
Neural Image Captioning (NIC) or neural caption generation has attracted...
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10/15/2018
UMONS Submission for WMT18 Multimodal Translation Task
This paper describes the UMONS solution for the Multimodal Machine Trans...
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05/03/2018
Transformer for Emotion Recognition
This paper describes the UMONS solution for the OMG-Emotion Challenge. W...
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12/09/2017
Modulating and attending the source image during encoding improves Multimodal Translation
We propose a new and fully end-to-end approach for multimodal translatio...
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07/04/2017
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation
In Multimodal Neural Machine Translation (MNMT), a neural model generate...
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07/04/2017
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...
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03/23/2017