research
∙
09/01/2023
Deep learning in medical image registration: introduction and survey
Image registration (IR) is a process that deforms images to align them w...
share
research
∙
05/30/2023
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation
Sketch-Based Image Retrieval (SBIR) is a crucial task in multimedia retr...
research
∙
09/14/2022
Transformers and CNNs both Beat Humans on SBIR
Sketch-based image retrieval (SBIR) is the task of retrieving natural im...
research
∙
05/20/2022
Analysis of Co-Laughter Gesture Relationship on RGB videos in Dyadic Conversation Contex
The development of virtual agents has enabled human-avatar interactions ...
research
∙
02/11/2022
Deep soccer captioning with transformer: dataset, semantics-related losses, and multi-level evaluation
This work aims at generating captions for soccer videos using deep learn...
research
∙
06/12/2021
Multi-level Attention Fusion Network for Audio-visual Event Recognition
Event classification is inherently sequential and multimodal. Therefore,...
research
∙
11/09/2020
Improved Soccer Action Spotting using both Audio and Video Streams
In this paper, we propose a study on multi-modal (audio and video) actio...
research
∙
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...
research
∙
10/02/2020
AVECL-UMONS database for audio-visual event classification and localization
We introduce the AVECL-UMons dataset for audio-visual event classificati...
research
∙
06/29/2020
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
Understanding expressed sentiment and emotions are two crucial factors i...
research
∙
10/31/2019
Can adversarial training learn image captioning ?
Recently, generative adversarial networks (GAN) have gathered a lot of i...
research
∙
10/08/2019
Modulated Self-attention Convolutional Network for VQA
As new data-sets for real-world visual reasoning and compositional quest...
research
∙
10/07/2019
Adversarial reconstruction for Multi-modal Machine Translation
Even with the growing interest in problems at the intersection of Comput...
research
∙
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...
research
∙
10/15/2018
Bringing back simplicity and lightliness into neural image captioning
Neural Image Captioning (NIC) or neural caption generation has attracted...
research
∙
10/15/2018
UMONS Submission for WMT18 Multimodal Translation Task
This paper describes the UMONS solution for the Multimodal Machine Trans...
research
∙
01/19/2018
Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces
The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hos...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/23/2017