Publications related to Foundation models

Modeling Dyadic and Group Impressions with Inter-Modal and Inter-Person Features

Daniel Gatica-Perez, Oya Aran, Laurent Son Nguyen

This article proposes a novel feature-extraction framework for inferring impression personality traits, emergent leadership skills, communicative competence, and hiring decisions. The proposed framework extracts multimodal features, describing each partici ...

2018

Target Detection with Deep Learning in Polarimetric Imaging

Selman Ergünay, Yusuf Leblebici, Süha Kagan Köse

Polarimetric imaging techniques demonstrate enhanced capabilities in advanced object detection tasks with their capability to discriminate man-made objects from natural background surfaces. While spectral signatures carry information only about material pr ...

SPIE-INT SOC OPTICAL ENGINEERING2018

Real-time Convolutional Networks for Depth-based Human Pose Estimation

Jean-Marc Odobez, Olivier Canévet, Michael Villamizar

We propose to combine recent Convolutional Neural Networks (CNN) models with depth imaging to obtain a reliable and fast multi-person pose estimation algorithm applicable to Human Robot Interaction (HRI) scenarios. Our hypothesis is that depth images conta ...

IEEE2018

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

Jean-Marc Odobez, Olivier Canévet, Michael Villamizar

Convolutional Neural Networks (CNN) are the leading models for human body landmark detection from RGB vision data. However, as such models require high computational load, an alternative is to rely on depth images which, due to their more simple nature, ca ...

2018

Chemical shifts in molecular solids by machine learning

David Lyndon Emsley, Michele Ceriotti, Albert Hofstetter, Félix Benedito Clément Musil, Sandip De, Federico Maria Paruzzo

Due to their strong dependence on local atonic environments, NMR chemical shifts are among the most powerful tools for strucutre elucidation of powdered solids or amorphous materials. Unfortunately, using them for structure determination depends on the abi ...

2018

Cyclic tensile-compressive tests on thin concrete boundary elements with a single layer of reinforcement prone to out-of-plane instability

Katrin Beyer, João Saraiva Esteves Pacheco de Almeida, Angelica Rosso, Lisandro Arturo Jimenez Roa

The growing need for residential housing in Latin American countries has led to the construction of reinforced concrete buildings with wall thicknesses as low as 8–10 cm. Such walls have typically only a single layer of vertical rebars and are therefore pa ...

2018

Regards d'un philosophe et d'un sociologue sur la question du mode de vie et de son changement

Alexandre André Robert Rigal

Dans cette intervention, nous présenterons dans un premier temps nos projets de recherche respectifs, en sociologie d’une part, et en histoire de la philosophie d’autre part, ainsi que les questions communes qui nous ont amenés à travailler ensemble. La qu ...

2017

Learning to Predict Human Behavior in Crowded Scenes

Alexandre Massoud Alahi, Vignesh Ramanathan

Pedestrians follow different trajectories to avoid obstacles and accommodate fellow pedestrians. Any autonomous vehicle navigating such a scene should be able to foresee the future positions of pedestrians and accordingly adjust its path to avoid collision ...

Elsevier2017

NEMo: An Evolutionary Model With Modularity for PPI Networks

Bernard Moret, Xiuwei Zhang, Min Ye, Qijia Jiang, Gabriela Clara Racz

Modeling the evolution of biological networks is a major challenge. Biological networks are usually represented as graphs; evolutionary events not only include addition and removal of vertices and edges but also duplication of vertices and their associated ...

IEEE Press2017

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Foundation models

Modeling Dyadic and Group Impressions with Inter-Modal and Inter-Person Features

Target Detection with Deep Learning in Polarimetric Imaging

Real-time Convolutional Networks for Depth-based Human Pose Estimation

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

Chemical shifts in molecular solids by machine learning

Cyclic tensile-compressive tests on thin concrete boundary elements with a single layer of reinforcement prone to out-of-plane instability

Learning Word Vectors for 157 Languages

Regards d'un philosophe et d'un sociologue sur la question du mode de vie et de son changement

Learning to Predict Human Behavior in Crowded Scenes

NEMo: An Evolutionary Model With Modularity for PPI Networks

Graph Chatbot

Chat with Graph Search

Modeling Dyadic and Group Impressions with Inter-Modal and Inter-Person Features

Investigating Depth Domain Adaptation for Efficient Human Pose Estimation

Target Detection with Deep Learning in Polarimetric Imaging

Real-time Convolutional Networks for Depth-based Human Pose Estimation

Chemical shifts in molecular solids by machine learning

NEMo: An Evolutionary Model With Modularity for PPI Networks

Cyclic tensile-compressive tests on thin concrete boundary elements with a single layer of reinforcement prone to out-of-plane instability

Regards d'un philosophe et d'un sociologue sur la question du mode de vie et de son changement

Learning Word Vectors for 157 Languages

Learning to Predict Human Behavior in Crowded Scenes