Concept

Generative artificial intelligence

Related publications (59)

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Structured Auto-Encoder with application to Music Genre Recognition

Michaël Defferrard

In this work, we present a technique that learns discriminative audio features for Music Information Retrieval (MIR). The novelty of the proposed technique is to design auto-encoders that make use of data structures to learn enhanced sparse data representa ...

2015

Benchmarking Image-Processing Algorithms for Biomicroscopy: Reference Datasets and Perspectives

Michaël Unser, Daniel Sage, Cédric René Jean Vonesch, Hagay Kirshner, Stamatios Lefkimmiatis

As the field of bioimage informatics matures, the issue of the validation of image reconstruction algorithms and the definition of proper performance criteria becomes more pressing. In this work, we discuss benchmarking aspects of fluorescence microscopy q ...

EUSIPCO2013

Data-Driven MRSI Spectral Localization Via Low-Rank Component Analysis

Dimitri Nestor Alice Van De Ville, Jeffrey Adam Kasten

Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool capable of providing spatially localized maps of metabolite concentrations. Its utility, however, is often depreciated by spectral leakage artifacts resulting from low spatial resolution me ...

Institute of Electrical and Electronics Engineers2013

Text Recognition in Natural Images Using Multiclass Hough Forests

Sabine Süsstrunk, Radhakrishna Achanta, Gökhan Yildirim

Text detection and recognition in natural images are popular yet unsolved problems in computer vision. In this paper, we propose a technique that attempts to detect and recognize text in a unified manner by searching for words directly without reducing the ...

2013

Learning from Candidate Labeling Sets

Jie Luo

In many real world applications we do not have access to fully-labeled training data, but only to a list of possible labels. This is the case, e.g., when learning visual classifiers from images downloaded from the web, using just their text captions or tag ...

Idiap2011

Learning from Candidate Labeling Sets

Jie Luo

MIT Press2010

Face authentication based on local features and generative models

The principal objective of this thesis is to investigate approaches toward a robust automatic face authentication (AFA) system in weakly constrained environments. In this context, we develop new algorithms based on local features and generative models. In ...

EPFL2006

Adapted Generative Models For Face Verification

Samy Bengio

It has been shown previously that systems based on local features and relatively complex generative models, namely 1D Hidden Markov Models (HMMs) and pseudo-2D HMMs, are suitable for face recognition (here we mean both identification and verification). Rec ...

IDIAP2003

A vision-based approach to behavioural animation

Daniel Thalmann, Olivier Renault

An innovative way of animating actors at a high level based on the concept of synthetic vision is presented. The objective is simple: to create an animation involving a synthetic actor automatically moving in a corridor avoiding objects and other synthetic ...

1990