Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Lechervy, A"'
Purpose: In sleep medicine, assessing the evolution of a subject's sleep often involves the costly manual scoring of electroencephalographic (EEG) signals. In recent years, a number of Deep Learning approaches have been proposed to automate this proc
Externí odkaz:
http://arxiv.org/abs/2410.19819
In recent years, Transformer-based auto-attention mechanisms have been successfully applied to the analysis of a variety of context-reliant data types, from texts to images and beyond, including data from non-Euclidean geometries. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2309.07579
Autor:
Lemaire, R., Raboutet, C., Leleu, T., Jaudet, C., Dessoude, L., Missohou, F., Poirier, Y., Deslandes, P.-Y., Lechervy, A., Lacroix, J., Moummad, I., Bardet, S., Thariat, J., Stefan, D., Corroyer-Dulmont, A.
Publikováno v:
In Cancer / Radiothérapie June 2024 28(3):251-257
Machine learning tools are becoming increasingly powerful and widely used. Unfortunately membership attacks, which seek to uncover information from data sets used in machine learning, have the potential to limit data sharing. In this paper we conside
Externí odkaz:
http://arxiv.org/abs/2108.00800
This paper proposes a step toward obtaining general models of knowledge for facial analysis, by addressing the question of multi-source transfer learning. More precisely, the proposed approach consists in two successive training steps: the first one
Externí odkaz:
http://arxiv.org/abs/1911.03222
In the context of deep learning, this article presents an original deep network, namely CentralNet, for the fusion of information coming from different sensors. This approach is designed to efficiently and automatically balance the trade-off between
Externí odkaz:
http://arxiv.org/abs/1811.02447
This paper addresses the task of relative camera pose estimation from raw image pixels, by means of deep neural networks. The proposed RPNet network takes pairs of images as input and directly infers the relative poses, without the need of camera int
Externí odkaz:
http://arxiv.org/abs/1809.08402
Publikováno v:
European Conference on Computer Vision Workshops: Multimodal Learning and Applications, Sep 2018, Munich, Germany. https://mula2018.github.io/
This paper proposes a novel multimodal fusion approach, aiming to produce best possible decisions by integrating information coming from multiple media. While most of the past multimodal approaches either work by projecting the features of different
Externí odkaz:
http://arxiv.org/abs/1808.07275
Publikováno v:
ICMI (EmotiW) 2018, Oct 2018, Boulder, Colorado, United States
This paper presents a light-weight and accurate deep neural model for audiovisual emotion recognition. To design this model, the authors followed a philosophy of simplicity, drastically limiting the number of parameters to learn from the target datas
Externí odkaz:
http://arxiv.org/abs/1808.02668
Publikováno v:
Image Analysis for Human Facial and Activity Recognition (BMVC Workshop), Sep 2018, Newcastle, United Kingdom. http://juz-dev.myweb.port.ac.uk/BMVCWorkshop/index.html
Numerous models describing the human emotional states have been built by the psychology community. Alongside, Deep Neural Networks (DNN) are reaching excellent performances and are becoming interesting features extraction tools in many computer visio
Externí odkaz:
http://arxiv.org/abs/1807.11215