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08/17/2020
Deep Variational Generative Models for Audio-visual Speech Separation
In this paper, we are interested in audio-visual speech separation given...
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04/14/2020
Unsupervised Performance Analysis of 3D Face Alignment
We address the problem of analyzing the performance of 3D face alignment...
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12/23/2019
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement
In this paper, we are interested in unsupervised speech enhancement usin...
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11/10/2019
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders
Recently, an audio-visual speech generative model based on variational a...
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08/07/2019
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder
Variational auto-encoders (VAEs) are deep generative latent variable mod...
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05/17/2019
SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design
We design a self size-estimating feed-forward network (SSFN) using a joi...
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10/23/2017
Progressive Learning for Systematic Design of Large Neural Networks
We develop an algorithm for systematic design of a large artificial neur...
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01/06/2015
A Study on Clustering for Clustering Based Image De-Noising
In this paper, the problem of de-noising of an image contaminated with A...
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07/29/2013
Union of Low-Rank Subspaces Detector
The problem of signal detection using a flexible and general model is co...
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06/12/2013
