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Audiovisual Summarization of Lectures and Meetings Using a Segment Similarity Graph

Publications associées (47)

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Further results on latent discourse models and word embeddings

Youssef Allouah

We discuss some properties of generative models for word embeddings. Namely, (Arora et al., 2016) proposed a latent discourse model implying the concentration of the partition function of the word vectors. This concentration phenomenon led to an asymptotic ...

MICROTOME PUBL2021

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Martin Jaggi, Robert West, Martin Josifoski, Ivan Paskov

There has recently been much interest in extending vector-based word representations to multiple languages, such that words can be compared across languages. In this paper, we shift the focus from words to documents and introduce a method for embedding doc ...

2019

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

Karl Aberer, Rémi Philippe Lebret, Alireza Mohammadshahi

In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages. We combine two existing objective functions to make images and captions close in a joint embedding space ...

Association for Computational Linguistics2019

Learning Word Vectors for 157 Languages

Prakhar Gupta, Edouard Grave

Distributed word representations, or word vectors, have recently been applied to many tasks in natural language processing, leading to state-of-the-art performance. A key ingredient to the successful application of these representations is to train them on ...

2018

Curable filler material for tubular structures

Andreas Schmocker

A radiopaque composition with low viscosity and increased photopolymerizability for application or filling of hollow structures is disclosed. Moreover, a method to apply and monitor the application and/or the photopolymerization of the composition are pres ...

2018

Implementation d'un algorithme de reduction de taille des reseaux de neurones

François Thierry M Marelli

This document describes the implementation of a neuron pruning method with pyTorch, and analyzes the results obtained by applying this method on convolutional and residual networks. The performance of the algorithm is measured in different test cases and w ...

Idiap2018

Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter

François Fleuret, Anton Ivanov, Stepan Tulyakov, Nicolas Thomas, Thomas Weigel

There are many geometric calibration methods for "standard" cameras. These methods, however, cannot be used for the calibration of telescopes with large focal lengths and complex off-axis optics. Moreover, specialized calibration methods for the telescopes ...

Elsevier2018

Building Word Embeddings for Solving Natural Language Processing

Rémi Philippe Lebret

Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...

École Polytechnique Fédérale de Lausanne2016

Word Embeddings for Natural Language Processing

Rémi Philippe Lebret

EPFL2016

A novel method for the synthesis of solvent-free Mg(B3H8)(2)

Jianmei Huang

This communication presents a novel and solvent-free method to synthesise Mg(B3H8)(2) via the gas-solid reaction between B2H6 and Mg2NiH4, which overcomes the limitations of wet chemical methods requiring solvent removal. ...

Royal Soc Chemistry2016