Publication
Controlling motion at the nanoscale with light
Related publications (57)
Vision-based detection of aircrafts and UAVs
Unmanned Aerial Vehicles are becoming increasingly popular for a broad variety of tasks ranging from aerial imagery to objects delivery. With the expansion of the areas, where drones can be efficiently used, the collision risk with other flying objects inc ...
EPFL2017Learning Aerial Image Segmentation from Online Maps
Martin Jaggi, Jan Dirk Wegner, Aurélien Lucchi, Thomas Hofmann
This study deals with semantic segmentation of high-resolution (aerial) images where a semantic class label is assigned to each pixel via supervised classification as a basis for automatic map generation. Recently, deep convolutional neural networks (CNNs) ...
Institute of Electrical and Electronics Engineers2017Fabrication method of functional micro/nano structures over large-area, flexible and high curvature surfaces, by drawing a fiber from a preform
Fabien Sorin, Wei Yan, Alexis Gérald Page, Yunpeng Qu, Dang Tùng Nguyen
The method for drawing a fiber with a textured surface comprises the following steps: - forming of a preform from which the fiber is to be drawn with a textured surface; - addition of an outer layer to the textured preform to preserve the shape of the text ...
2017Robust image classification
In the past decade, image classification systems have witnessed major advances that led to record performances on challenging datasets. However, little is known about the behavior of these classifiers when the data is subject to perturbations, such as rand ...
EPFL2016Modelling of plasmonic systems
Metallic nanostructures interact in complex ways with light, forming the subject of plasmonics and bringing novel physical phenomena and practical applications. The fundamental and practical importance of plasmonics necessitates the development of a multit ...
EPFL2016Sub-20nm gaps in HSQ for ultra-scaled nanoelectronic devices
Maneesha Rupakula, Wolfgang Amadeus Vitale
We build sub-20 nm gaps in hydrogen silsesquioxane (HSQ) by electron beam lithography, to enable nano-template structures for selective epitaxial growth of Ge or III-V semiconductors for ultra-scaled electronic applications [1]. Gaps of this order have bee ...
2016A Deeper Look at Dataset Bias
Barbara Caputo, Tatiana Tommasi, Novi Patricia
The presence of a bias in each image data collection has recently attracted a lot of attention in the computer vision community showing the limits in generalization of any learning method trained on a specific dataset. At the same time, with the rapid deve ...
Springer Int Publishing Ag2015Human and Machine Learning in Non-Markovian Decision Making
Michael Herzog, Aaron Michael Clarke, Elisa Tartaglia, Silvia Marchesotti, Walter Senn
Humans can learn under a wide variety of feedback conditions. Reinforcement learning (RL), where a series of rewarded decisions must be made, is a particularly important type of learning. Computational and behavioral studies of RL have focused mainly on Ma ...
Public Library of Science2015Optical forces in nanoplasmonic systems: how do they work, what can they be useful for?
Olivier Martin, Raziman Thottungal Valapu, Robert Julius Wolke
n this article, we share our vision for a future nanofactory, where plasmonic trapping is used to control the different manufacturing steps associated with the transformation of initial nanostructures to produce complex compounds. All the different functio ...
Royal Soc Chemistry2015Direct imprinting of organic-inorganic hybrid materials into high aspect ratio sub-100 nm structures
Jürgen Brugger, Victor Javier Cadarso Busto, Thomas Kiefer, Vaida Auzelyte
The challenging fabrication of sub-100-nm structures with high aspect ratio by UV-nanoimprint lithography (NIL) is addressed in this work. Thermal shrinkage is induced by cooling the structures below room temperature to avoid the issues commonly arising du ...
Springer Verlag2014