MLGCN: Multi-Laplacian graph convolutional networks for human action recognition
A Mazari, H Sahbi - The British machine vision conference (BMVC), 2019 - hal.science
Convolutional neural networks are nowadays witnessing a major success in different pattern
recognition problems. These learning models were basically designed to handle vectorial …
recognition problems. These learning models were basically designed to handle vectorial …
Multi-label Classification using Deep Multi-order Context-aware Kernel Networks
M Jiu, H Zhu, H Sahbi - arxiv preprint arxiv:2412.19491, 2024 - arxiv.org
Multi-label classification is a challenging task in pattern recognition. Many deep learning
methods have been proposed and largely enhanced classification performance. However …
methods have been proposed and largely enhanced classification performance. However …
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning
Retrieval augmentation, the practice of retrieving additional data from large auxiliary pools,
has emerged as an effective technique for enhancing model performance in the low-data …
has emerged as an effective technique for enhancing model performance in the low-data …
Exploiting visual saliency for increasing diversity of image retrieval results
Diversification of search results allows for better and faster search, gaining knowledge about
different perspectives and viewpoints on retrieved information sources. Recently various …
different perspectives and viewpoints on retrieved information sources. Recently various …
Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning
H Sahbi - arxiv preprint arxiv:2306.17590, 2023 - arxiv.org
Magnitude pruning is one of the mainstream methods in lightweight architecture design
whose goal is to extract subnetworks with the largest weight connections. This method is …
whose goal is to extract subnetworks with the largest weight connections. This method is …
One-Shot Multi-Rate Pruning of Graph Convolutional Networks
H Sahbi - arxiv preprint arxiv:2312.17615, 2023 - arxiv.org
In this paper, we devise a novel lightweight Graph Convolutional Network (GCN) design
dubbed as Multi-Rate Magnitude Pruning (MRMP) that jointly trains network topology and …
dubbed as Multi-Rate Magnitude Pruning (MRMP) that jointly trains network topology and …
Diversity-based interactive learning meets multimodality
In interactive retrieval tasks, one of the main objectives is to maximize the user information
gain throughout search sessions. Retrieving many relevant items is quite important, but it …
gain throughout search sessions. Retrieving many relevant items is quite important, but it …
Frugal Satellite Image Change Detection with Deep-Net Inversion
H Sahbi, S Deschamps - arxiv preprint arxiv:2309.14781, 2023 - arxiv.org
Change detection in satellite imagery seeks to find occurrences of targeted changes in a
given scene taken at different instants. This task has several applications ranging from land …
given scene taken at different instants. This task has several applications ranging from land …
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection
H Sahbi - arxiv preprint arxiv:2312.16965, 2023 - arxiv.org
We introduce a novel interactive satellite image change detection algorithm based on active
learning. The proposed method is iterative and consists in frugally probing the user (oracle) …
learning. The proposed method is iterative and consists in frugally probing the user (oracle) …
Deep total variation support vector networks
H Sahbi - Proceedings of the IEEE/CVF International …, 2019 - openaccess.thecvf.com
Support vector machines (SVMs) have been successful in solving many computer vision
tasks including image and video category recognition especially for small and mid-scale …
tasks including image and video category recognition especially for small and mid-scale …