Unsupervised learning from narrated instruction videos project page
Abstract We address the problem of automatically learning the main steps to complete a certain task, such as changing a car tire, from a set of narrated instruction videos. The contributions of this paper are three-fold. First, we develop a new unsupervised learning approach that takes advantage of the complementary nature of the input video and the associated narration. The method solves two clus
NetVLAD: CNN architecture for weakly supervised place recognition
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A Theoretical Analysis of Feature Pooling in Visual Recognition
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Convolutional neural network architecture for geometric matching
Convolutional neural network architecture for geometric matching Our trained geometry estimation network automatically aligns two images with substantial appearance differences. It is able to estimate large deformable transformations robustly in the presence of clutter. The proposed CNN architecture is based on three main components that mimic the standard steps of feature extraction, matching and
title.intro.contents
I This book is currently out of print. Upon kind permission of the M.I.T.-Press, it is available on ftp.ens.fr/pub/dmi/users/longo/CategTypesStructures All references should be made to the published book. CATEGORIES TYPES AND STRUCTURES An Introduction to Category Theory for the working computer scientist Andrea Asperti Giuseppe Longo FOUNDATIONS OF COMPUTING SERIES M.I.T. PRESS, 1991 II INTRODUCT
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Paris-Jourdan Sciences Économiques - UMR8545
PjSE - UMR8545 48 boulevard Jourdan 75014 Paris France Tél : 01 80 52 16 00 pjse AT ens.fr
fbach_tutorial_vr_nips_2016.dvi
Stochastic optimization: Beyond stochastic gradients and convexity Part I Francis Bach INRIA - Ecole Normale Supérieure, Paris, France É C O L E N O R M A L E S U P É R I E U R E Joint tutorial with Suvrit Sra, MIT - NIPS - 2016 Context Machine learning for large-scale data • Large-scale supervised machine learning: large d, large n – d : dimension of each observation (input) or number of paramet
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Index
Département de Physique ENS Page personnelle de Jacques Ninio Curriculum vitae Main publications, arranged by topic Complete publication list, arranged by topic Ribosomal accuracy blog MOLECULAR AND EVOLUTIONARY BIOLOGY Contributions to RNA structure ( molecular model for transfer RNA / small-angle X-ray scattering work / base-pairing statistics) Contributions to codon-anticodon recognition ( The
Introduction to the Coq proof assistant
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Synchronous Functional Programming: The Lucid Synchrone Experiment ∗ Paul Caspi † VERIMAG Grenoble Grégoire Hamon The MathWorks Boston Marc Pouzet ‡ LRI, Univ. Paris-Sud 11 Orsay 1 Introduction Lucid Synchrone is a programming language dedicated to the design of reactive systems. It is based on the synchronous model of Lustre [25] which it extends with features usually found in functional languag
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Video Dataset Overview
https://www.di.ens.fr/~fbach/mairal_icml09.pdf
http://www.phys.ens.fr/~jacobsen/acfta/Bazhanov_2.pdf
http://www.di.ens.fr/~fbach/ssra_tutorial_vr_nips_2016.pdf
http://piketty.pse.ens.fr/files/public/Grasset2001/2-246-61651-4.pdf
http://www.di.ens.fr/~zappa/teaching/mpri/2006/pisyntax.pdf