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Efficient queue length detection at traffic signals using probe vehicle data and data fusion

Publications associées (53)

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On the inefficiency of ride-sourcing services towards urban congestion

Nikolaos Geroliminis, Caio Vitor Beojone

The advent of shared-economy and smartphones made on-demand transportation services possible, which created additional opportunities, but also more complexity to urban mobility. Companies that offer these services are called Transportation Network Companie ...

2020

Federated Generative Privacy

Boi Faltings, Aleksei Triastcyn

We propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of which are trained by FedAvg algorithm, to draw private artificial data samples and empirica ...

IEEE COMPUTER SOC2020

Vulnerability assessment and detection of Deepfake videos

Sébastien Marcel

It is becoming increasingly easy to automatically replace a face of one person in a video with the face of another person by using a pre-trained generative adversarial network (GAN). Recent public scandals, e.g., the faces of celebrities being swapped onto ...

2019

Federated Generative Privacy

Boi Faltings, Aleksei Triastcyn

In this paper, we propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of which are trained by FedAvg algorithm, to draw privacy-preserving artificial ...

2019

Study and optimisation of a linear drive system

Raphaël Johannes Charles Mottet

Akribis Systems is a young company specialising in the design and manufacture of motors, stages, and precision systems used in many various environments. Akribis’ products range from standard linear and voice coil motors to fully customized stages, through ...

2017

Characterizing and Improving Stability in Neural Style Transfer

Alexandre Massoud Alahi, Agrim Gupta

Recent progress in style transfer on images has focused on improving the quality of stylized images and speed of methods. However, real-time methods are highly unstable resulting in visible flickering when applied to videos. In this work we characterize th ...

2017

Limiting the Influence of Low Quality Information in Community Sensing

Boi Faltings, Goran Radanovic

We consider a community of private sensors that collect measurements of a physical phenomenon, such as air pollution, and report it to a center. The center should be able to prevent low quality reports from degrading the quality of the aggregated informati ...

2016

The Impact of Porosification upon Luminescence of HVPE Grown GaN and the Influence of the Porous Layer upon the Quality of the Overgrown GaN Film

Nicolas Grandjean, Jean-François Carlin, Denis Martin

In this paper, we show that the quality of the porous layers produced by photoelectrochemical (PEC) etching of HVPE GaN in oxalic acid is better than that of the initial material, and the quality of GaN films overgrown on porous layers can be improved by a ...

Springer2016

Crowdsourcing Microdata for Cost-Effective and Reliable Lexicography

Martin Benjamin

Lexicography has long faced the challenge of having too few specialists to document too many words in too many languages with too many linguistic features. Great dictionaries are invariably the product of many person-years of labor, whether the lifetime wo ...

2015

Managing Quality of Crowdsourced Data

Thành Tâm Nguyên

The Web is the central medium for discovering knowledge via various sources such as blogs, social media, and wikis. It facilitates access to contents provided by a large number of users, regardless of their geographical locations or cultural backgrounds. S ...

2015