105 citations · 226 across the 19 of their papers we have counts for
8 papers · 1 filter
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation
Omar Seddati, Nathan Hubens, Stéphane Dupont +1
Sketch-Based Image Retrieval (SBIR) is a crucial task in multimedia retrieval, where the goal is to retrieve a set of images that match a given sketch query. Researchers have alrea…
Transformers and CNNs both Beat Humans on SBIR
Omar Seddati, Stéphane Dupont, Saïd Mahmoudi +1
Sketch-based image retrieval (SBIR) is the task of retrieving natural images (photos) that match the semantics and the spatial configuration of hand-drawn sketch queries. The unive…
Analysis of Co-Laughter Gesture Relationship on RGB videos in Dyadic Conversation Contex
Hugo Bohy, Ahmad Hammoudeh, Antoine Maiorca +2
The development of virtual agents has enabled human-avatar interactions to become increasingly rich and varied. Moreover, an expressive virtual agent i.e. that mimics the natural e…
Deep soccer captioning with transformer: dataset, semantics-related losses, and multi-level evaluation
Ahmad Hammoudeh, Bastien Vanderplaetse, Stéphane Dupont
This work aims at generating captions for soccer videos using deep learning. In this context, this paper introduces a dataset, model, and triple-level evaluation. The dataset consi…
Multi-level Attention Fusion Network for Audio-visual Event Recognition
Mathilde Brousmiche, Jean Rouat, Stéphane Dupont
Event classification is inherently sequential and multimodal. Therefore, deep neural models need to dynamically focus on the most relevant time window and/or modality of a video. I…
Improved Soccer Action Spotting using both Audio and Video Streams
Bastien Vanderplaetse, Stéphane Dupont
In this paper, we propose a study on multi-modal (audio and video) action spotting and classification in soccer videos. Action spotting and classification are the tasks that consis…
Modulated Self-attention Convolutional Network for VQA
Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens +1
As new data-sets for real-world visual reasoning and compositional question answering are emerging, it might be needed to use the visual feature extraction as a end-to-end process…
Object-oriented Targets for Visual Navigation using Rich Semantic Representations
Jean-Benoit Delbrouck, Stéphane Dupont
When searching for an object humans navigate through a scene using semantic information and spatial relationships. We look for an object using our knowledge of its attributes and r…