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Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems

Publications associées (32)

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Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Davide Scaramuzza

Event cameras are bio-inspired vision sensors that naturally capture the dynamics of a scene, filtering out redundant information. This paper presents a deep neural network approach that unlocks the potential of event cameras on a challenging motion-estima ...

2018

Smart Camera Architectures for Wireless and Multi-Sensor Vision Applications

Selman Ergünay

Advances in camera sensor technology and its manufacturing process now allow high quality image acquisition with low-cost devices. Moreover, the latest significant increase in computational capacity of the processing units enables incorporation of more com ...

EPFL2018

Statistically-Motivated Second-order Pooling

Mathieu Salzmann, Kaicheng Yu

Second-order pooling, a.k.a. bilinear pooling, has proven effective for deep learning based visual recognition. However, the resulting second-order networks yield a final representation that is orders of magnitude larger than that of standard, first-order ...

2018

Learning embeddings: efficient algorithms and applications

Cijo Jose

Learning to embed data into a space where similar points are together and dissimilar points are far apart is a challenging machine learning problem. In this dissertation we study two learning scenarios that arise in the context of learning embeddings and o ...

EPFL2018

Distributed Time Series Analytics

Tian Guo

In recent years time series data has become ubiquitous thanks to affordable sensors and advances in embedded technology. Large amount of time-series data are continuously produced in a wide spectrum of applications, such as sensor networks, medical monitor ...

EPFL2017

An Accelerator for High Efficient Vision Processing

Paolo Ienne, Robert Fasthuber, Zidong Du, Qi Guo

In recent years, neural network accelerators have been shown to achieve both high energy efficiency and high performance for a broad application scope within the important category of recognition and mining applications. Still, both the energy efficiency a ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Mobile Sensor Networks for Air Quality Monitoring in Urban Settings

Adrian Arfire

With urban populations rapidly increasing and millions of deaths being attributed annually to air pollution, there is a critical need for a deeper understanding of urban air quality. The locality of urban emissions sources, and the specific topography of c ...

EPFL2016

Live demonstration: The “DAVIS” Dynamic and Active-Pixel Vision Sensor

This demonstration will show the features of the Dynamic and Active-Pixel Vision Sensor (DAVIS) reported at the VLSI Symposium and the International Imager Sensor Workshop in 2013. This sensor concurrently outputs conventional CMOS image sensor frames and ...

IEEE2014

A robust platform for textile integrated gas sensors

Nico de Rooij, Danick Briand, Caglar Ataman, Jérôme Courbat, Francisco Molina Lopez, Andres Felipe Vasquez Quintero, Giorgio Mattana

Fabrication, textile integration and post-weaving characterization of a robust platform for monolithically integrated, low-power gas and temperature sensing are presented. The platform, consisting of an interdigitated planar capacitor for gas sensing and a ...

Elsevier2013

Closed-loop PLM for intelligent products in the era of the Internet of things

With the advent of the information and related emerging technologies, such as RHO, small size sensors and sensor networks or, more generally, product embedded information devices (PEID), a new generation of products called smart or intelligent products is ...

2011