R: Transfer Binary Data To and From Connections
Details These functions can only be used with binary-mode connections. If con is a character string, the functions call file to obtain a binary-mode file connection which is opened for the duration of the function call. If the connection is open it is read/written from its current position. If it is not open, it is opened for the duration of the call in an appropriate mode (binary read or write) a
R: Value of Last Evaluated Expression
Description The value of the internal evaluation of a top-level R expression is always assigned to .Last.value (in package:base) before further processing (e.g., printing). Usage .Last.value Details The value of a top-level assignment is put in .Last.value, unlike S. Do not assign to .Last.value in the workspace, because this will always mask the object of the same name in package:base. See Also e
R: Read from or Write to a Socket
Value read.socket returns the string read as a length-one character vector. write.socket returns the number of bytes written. Author(s) Thomas Lumley See Also close.socket, make.socket Examples finger <- function(user, host = "localhost", port = 79, print = TRUE) { if (!is.character(user)) stop("user name must be a string") user <- paste(user,"\r\n") socket <- make.socket(host, port) on.exit(close
Flying Platform – Institute for Dynamic Systems and Control | ETH Zurich
The Flying Platform is a flying machine developed at IDSC, ETH Zurich. Its purpose is to study the use of electric ducted fans as control and propulsion systems. Background The idea is to explore the use of ducted fans for joint control and propulsion, as a basic sub-system for flying machines. Ducted fans are useful for applications where size is limited and high static thrusts are required. Exam
Earwigs and the art of origami
ETH Zurich researchers have developed multifunctional origami structures, which they then fabricated into 3D printed objects. The design principle mimics the structure of an earwig’s wing. Every child knows about origami. The skill of this oriental art lies in folding a flat sheet of paper into different – and in some cases highly complex – structures. Examples of origami also exist in the natural
Generative Adversarial Networks for Extreme Learned Image Compression
Results User Study The following figure shows the results of a userstudy. We can see that our method is prefered over BPG, even when BPG uses almost twice the number of bits. The bitrate of our models is highlighted on the x-axis with a black diamond. The thick gray line shows the percentage of users preferring our model to BPG at that bitrate (bpp). The blue arrow points from our model to the hig
debian version numbers | ISG D-PHYS Readme Wiki
Debian Version Numbers¶ The version number of a package contains several valuable pieces of information which we summarize below. For further details refer to Debian policy manual - Version numbering. Simple generic examples¶ These examples show the necessary syntax Native package (Debian package = Upstream software): 123 Package version = Upstream version Non-native package: 123-3 123 = Upstream
Deep Extreme Cut
Deep Extreme Cut (DEXTR): From Extreme Points to Object Segmentation State of the Art in guided and interactive segmentation K.K. Maninis*, S. Caelles*, J. Pont-Tuset, and L. Van Gool Deep Extreme Cut: From Extreme Points to Object Segmentation, Computer Vision and Pattern Recognition (CVPR), 2018. [BibTeX] [PDF] @inproceedings{Man+18, author = {K.-K. Maninis and S. Caelles and J. Pont-Tuset and L
Action plan for national open-access strategy approved / News / Open access at ETH Zurich / ms / Home - ETH Library
Search the NEBIS Library Catalogue, Research Collection, E-Periodica, ETH Data Archive, E-Pics Image Catalogues, Material-Archiv, Graphische Sammlung and Archival Databases Now that swissuniversities and the Swiss University Conference have approved the action plan drawn up in 2017, the national open-access strategy for Switzerland can be put into practice. At the beginning of 2017, the swissunive
kmavvisualinertialdatasets – ASL Datasets
This web page presents visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV). The datasets contain stereo images, synchronized IMU measurements, and accurate motion and structure ground-truth. Those data sets were published in: M. Burri, J. Nikolic, P. Gohl, T. Schneider, J. Rehder, S. Omari, M. Achtelik and R. Siegwart, The EuRoC micro aerial vehicle datasets, International Jou
igl | Interactive Geometry Lab | ETH Zurich | Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction
Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction From a set of images of a scene(left), multi-view stereo methods can reconstruct a dense 3D point cloud (middle left), which however often suffers from noise and outliers. We propose a simple and efficient filtering method that produces clean point clouds (middle right) that allow for a favorable surface reconstruction (right)
VerifyThis Competition
About VerifyThis is a series of program verification competitions, which has taken place annually since 2011 (with the exception of 2020). Previous competitions in the series have been held at FoVeOOS 2011, FM 2012, Dagstuhl (April 2014), and ETAPS 2015—2023. The challenge problems and solutions of previous competitions are available in the archive. The aims of the competition are: to bring togeth
LLD - Large Logo Dataset
Logo Synthesis and Manipulation with Clustered Generative Adverserial Network arXiv:1712.04407 Designing a logo for a new brand is a lengthy and tedious back-and-forth process between a designer and a client. In this paper we explore to what extent machine learning can solve the creative task of the designer. For this, we build a dataset -- LLD -- of 600k+ logos crawled from the world wide web. Tr
The Premiere CYBATHLON 2016 – CYBATHLON – moving people and technology | ETH Zurich
Looking at the millions of people who use technical assistance systems in their daily lives, Robert Riener, head of the professorship for sensorimotor systems, ETH Zurich, initiated the CYBATHLON in 2013. The idea for the CYBATHLON was inspired by athletes, such as the first runner with a motorised leg prosthesis to climb the Chicago Willis Tower and the first runner with lower body paralysis to u
R: Asserting Error Conditions
Description When testing code, it is not sufficient to check that results are correct, but also that errors or warnings are signalled in appropriate situations. The functions described here provide a convenient facility for doing so. The three functions check that evaluating the supplied expression produces an error, a warning or one of a specified list of conditions, respectively. If the assertio
One-Shot Video Object Segmentation
S. Caelles*, K.K. Maninis*, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool One-Shot Video Object Segmentation, Computer Vision and Pattern Recognition (CVPR), 2017. [BibTeX] [PDF] @inproceedings{Cae+17, Author = {Sergi Caelles and Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Laura Leal-Taix\'e and Daniel Cremers and Luc {Van Gool}}, Title = {One-Shot Video Object Segmentation}, Bookti
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http://laser.inf.ethz.ch/2013/material/cockcroft/LASER2.pdf
Radu Timofte
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