Publications associées à Pretraining boosts out-of-domain robustness for pose estimation

Modern techniques and applications for real-time non-rigid registration

Mark Pauly, Hao Li, Sofien Bouaziz, Andrea Tagliasacchi

Registration algorithms are an essential component of many computer graphics and computer vision systems. With recent technological advances in RGBD sensors (color plus depth), an active area of research is in techniques combining color, geometry, and lear ...

2016

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Matthias Grossglauser, Lucas Maystre, Young Jun Ko

Modern technologies enable us to record sequences of online user activity at an unprecedented scale. Although such activity logs are abundantly available, most approaches to recommender systems are based on the rating-prediction paradigm, ignoring temporal ...

2016

Music Learning with Long Short Term Memory Networks

Florian François Colombo

Humans are able to learn and compose complex, yet beautiful, pieces of music as seen in e.g. the highly complicated works of J.S. Bach. However, how our brain is able to store and produce these very long temporal sequences is still an open question. Long s ...

2015

Phonological Vocoding Using Artificial Neural Networks

Philip Neil Garner, Milos Cernak

We investigate a vocoder based on artificial neural networks using a phonological speech representation. Speech decomposition is based on the phonological encoders, realised as neural network classifiers, that are trained for a particular language. The spe ...

IEEE2015

Phonological vocoding using artificial neural networks

Philip Neil Garner, Milos Cernak

We investigate a vocoder based on artificial neural networks using a phonological speech representation. Speech decomposition is based on the phonological encoders, realised as neural network classifiers, that are trained for a particular language. The spe ...

Idiap2015

Exploiting foreign resources for DNN-based ASR

Petr Motlicek, Philip Neil Garner, David Imseng

Manual transcription of audio databases for the development of automatic speech recognition (ASR) systems is a costly and time-consuming process. In the context of deriving acoustic models adapted to a specific application, or in low-resource scenarios, it ...

2015

Exploiting foreign resources for DNN-based ASR

Petr Motlicek, Philip Neil Garner, David Imseng

Manual transcription of audio databases for the development of automatic speech recognition (ASR) systems is a costly and time-consuming process. In the context of deriving acoustic models adapted to a specific application, or in low-resource scenarios, it ...

Idiap2015

Weakly Supervised Object Segmentation with 004 dwaeConvolutional Neural Networks

Ronan Collobert, Pedro Henrique Oliveira Pinheiro

Can a machine learn how to segment different objects in real world images without having any prior knowledge about the delineation of the classes? In this paper, we demonstrate that this task is indeed possible. We address the problem by training a Convolu ...

Idiap2014

MERIS observations of phytoplankton blooms in a stratified eutrophic lake

Alfred Johny Wüest

The use of spaceborne medium resolution imaging spectrometers with neural network algorithms has proven a large potential for application with optically complex inland waters. We make use of this approach to investigate the bio-physical dynamics in a eutro ...

Elsevier Science Inc2012

Neural conditional random fields

We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Markov networks, yielding a powerful and scalable probabilistic model that we ap ...

JMLR: W&CP2010

Pretraining boosts out-of-domain robustness for pose estimation

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Modern techniques and applications for real-time non-rigid registration

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Music Learning with Long Short Term Memory Networks

Phonological Vocoding Using Artificial Neural Networks

Phonological vocoding using artificial neural networks

Exploiting foreign resources for DNN-based ASR

Exploiting foreign resources for DNN-based ASR

Weakly Supervised Object Segmentation with 004 dwaeConvolutional Neural Networks

MERIS observations of phytoplankton blooms in a stratified eutrophic lake

Neural conditional random fields

Modern techniques and applications for real-time non-rigid registration

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Neural conditional random fields

Music Learning with Long Short Term Memory Networks

Phonological vocoding using artificial neural networks

Exploiting foreign resources for DNN-based ASR

Phonological Vocoding Using Artificial Neural Networks

Exploiting foreign resources for DNN-based ASR

Weakly Supervised Object Segmentation with 004 dwaeConvolutional Neural Networks

MERIS observations of phytoplankton blooms in a stratified eutrophic lake