36 citations
- Laboratoire des systèmes et applications des technologies de l'information et de l'énergieFR2 papers
- Laboratoire d’Informatique et SystèmesFR2 papers
- Babeș-Bolyai UniversityRO1 paper
- Center for Mathematical ModelingCL1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- City, University of LondonGB1 paper
- École PolytechniqueFR1 paper
- École Pour l'Informatique et les Techniques AvancéesFR1 paper
- FLOWERS: Flow: exploration, apprentissage et découverte dirigés par la curiositéFR1 paper
- Institute of Mathematics and Mathematical ModelingKZ1 paper
- Institut Systèmes Intelligents et de RobotiqueFR1 paper
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR1 paper
7 papers
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
Monocular depth is important in many tasks, such as 3D reconstruction and autonomous driving. Deep learning based models achieve state-of-the-art performance in this field. A set o…
SLURP: Side Learning Uncertainty for Regression Problems
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
It has become critical for deep learning algorithms to quantify their output uncertainties to satisfy reliability constraints and provide accurate results. Uncertainty estimation f…
Learning Deep Morphological Networks with Neural Architecture Search
Yufei Hu, Nacim Belkhir, Jesus Angulo +2
Deep Neural Networks (DNNs) are generated by sequentially performing linear and non-linear processes. Using a combination of linear and non-linear procedures is critical for genera…
Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics
Natalia Díaz-Rodríguez, Rūta Binkytė-Sadauskienė, Wafae Bakkali +4
The COVID-19 pandemic has spurred a large amount of observational studies reporting linkages between the risk of developing severe COVID-19 or dying from it, and sex and gender. By…
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models
Pranav Agarwal, Alejandro Betancourt, Vana Panagiotou +1
Image captioning models have been able to generate grammatically correct and human understandable sentences. However most of the captions convey limited information as the model us…
Exploratory Study: Children's with Autism Awareness of being Imitated by Nao Robot
Andreea Peca, Adriana Tapus, Amir Aly +5
This paper presents an exploratory study designed for children with Autism Spectrum Disorders (ASD) that investigates children's awareness of being imitated by a robot in a play/ga…