Skip to content

Category: Yggdrasil

Mass Estimation of Planck Galaxy Clusters using Deep Learning

31.05.2022
Galaxy cluster masses can be inferred indirectly using measurements from X-ray band, Sunyaev-Zeldovich (SZ) effect signal or optical observations. Unfortunately, all of them are affected by some bias. Alternatively, we

Multimodal Classifier For Space Target Recognition

20.10.2021
We propose a multi-modal framework to tackle the SPARK Challenge by classifying satellites using RGB and depth images. Our framework is mainly based on Auto-Encoders to embed the two modalities

AMI-Class: Towards a Fully Automated Multi-view Image Classifier

27.09.2021
In this paper, we propose an automated framework for multi-view image classification tasks. The proposed framework is able to, all at once, train a model to find a common latent

MIC: Multi-view Image Classifier using Generative Adversarial Networks for Missing Data Imputation

19.02.2021
In this paper, we propose a framework for image classification tasks, named MIC, that takes as input multi-view images, such as RGB-T images for surveillance purposes. We combine auto-encoder and
Tracks
Field of expertises
Academic collaboration