Xavier Alameda-Pineda

research

∙ 08/18/2023

On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers

State-of-the-art rehearsal-free continual learning methods exploit the p...

0 Thomas De Min, et al. ∙

research

∙ 07/04/2023

A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation

Animating still face images with deep generative models using a speech i...

0 Louis Airale, et al. ∙

research

∙ 06/13/2023

Unsupervised speech enhancement with deep dynamical generative speech and noise models

This work builds on a previous work on unsupervised speech enhancement u...

0 Xiaoyu Lin, et al. ∙

research

∙ 06/13/2023

Semi-supervised learning made simple with self-supervised clustering

Self-supervised learning models have been shown to learn rich visual rep...

0 Enrico Fini, et al. ∙

research

∙ 06/09/2023

Motion-DVAE: Unsupervised learning for fast human motion denoising

Pose and motion priors are crucial for recovering realistic and accurate...

0 Guénolé Fiche, et al. ∙

research

∙ 05/05/2023

A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning

In this paper, we present a multimodal and dynamical VAE (MDVAE) applied...

0 Samir Sadok, et al. ∙

research

∙ 03/07/2023

Speech Modeling with a Hierarchical Transformer Dynamical VAE

The dynamical variational autoencoders (DVAEs) are a family of latent-va...

0 Xiaoyu Lin, et al. ∙

research

∙ 11/02/2022

Autoregressive GAN for Semantic Unconditional Head Motion Generation

We address the task of unconditional head motion generation to animate s...

0 Louis Airale, et al. ∙

research

∙ 07/04/2022

Back to MLP: A Simple Baseline for Human Motion Prediction

This paper tackles the problem of human motion prediction, consisting in...

0 Wen Guo, et al. ∙

research

∙ 06/07/2022

Variational Meta Reinforcement Learning for Social Robotics

With the increasing presence of robots in our every-day environments, im...

0 Anand Ballou, et al. ∙

research

∙ 04/26/2022

Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining

The recent success of audio-visual representation learning can be largel...

0 Hanyu Xuan, et al. ∙

research

∙ 04/14/2022

Learning and controlling the source-filter representation of speech with a variational autoencoder

Understanding and controlling latent representations in deep generative ...

0 Samir Sadok, et al. ∙

research

∙ 04/04/2022

HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE

Studies on the automatic processing of 3D human pose data have flourishe...

0 Xiaoyu Bie, et al. ∙

research

∙ 03/26/2022

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation

A fundamental and challenging problem in deep learning is catastrophic f...

17 Guanglei Yang, et al. ∙

research

∙ 02/18/2022

Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder

In this paper, we present an unsupervised probabilistic model and associ...

0 Xiaoyu Lin, et al. ∙

research

∙ 02/01/2022

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation

Over the past years, semantic segmentation, as many other tasks in compu...

26 Guanglei Yang, et al. ∙

research

∙ 12/08/2021

Self-Supervised Models are Continual Learners

Self-supervised models have been shown to produce comparable or better v...

0 Enrico Fini, et al. ∙

research

∙ 11/04/2021

Successor Feature Neural Episodic Control

A longstanding goal in reinforcement learning is to build intelligent ag...

0 David Emukpere, et al. ∙

research

∙ 10/29/2021

Xi-Learning: Successor Feature Transfer Learning for General Reward Functions

Transfer in Reinforcement Learning aims to improve learning performance ...

0 Chris Reinke, et al. ∙

research

∙ 06/23/2021

Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders

Dynamical variational auto-encoders (DVAEs) are a class of deep generati...

0 Xiaoyu Bie, et al. ∙

research

∙ 06/11/2021

A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling

The Variational Autoencoder (VAE) is a powerful deep generative model th...

0 Xiaoyu Bie, et al. ∙

research

∙ 05/18/2021

Multi-Person Extreme Motion Prediction with Cross-Interaction Attention

Human motion prediction aims to forecast future human poses given a sequ...

0 Wen Guo, et al. ∙

research

∙ 03/28/2021

TransCenter: Transformers with Dense Queries for Multiple-Object Tracking

Transformer networks have proven extremely powerful for a wide variety o...

52 Yihong Xu, et al. ∙

research

∙ 03/10/2021

SocialInteractionGAN: Multi-person Interaction Sequence Generation

Prediction of human actions in social interactions has important applica...

0 Louis Airale, et al. ∙

research

∙ 03/05/2021

Variational Structured Attention Networks for Deep Visual Representation Learning

Convolutional neural networks have enabled major progress in addressing ...

9 Guanglei Yang, et al. ∙

research

∙ 01/08/2021

Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction

Multi-scale representations deeply learned via convolutional neural netw...

17 Dan Xu, et al. ∙

research

∙ 10/11/2020

PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation

Recent literature addressed the monocular 3D pose estimation task very s...

13 Wen Guo, et al. ∙

research

∙ 08/28/2020

Dynamical Variational Autoencoders: A Comprehensive Review

The Variational Autoencoder (VAE) is a powerful deep generative model th...

0 Laurent Girin, et al. ∙

research

∙ 08/17/2020

Deep Variational Generative Models for Audio-visual Speech Separation

In this paper, we are interested in audio-visual speech separation given...

0 Viet-Nhat Nguyen, et al. ∙

research

∙ 08/10/2020

Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

Manipulating visual attributes of images through human-written text is a...

15 Yahui Liu, et al. ∙

research

∙ 06/02/2020

Variational Inference and Learning of Piecewise-linear Dynamical Systems

Modeling the temporal behavior of data is of primordial importance in ma...

0 Xavier Alameda-Pineda, et al. ∙

research

∙ 04/14/2020

Unsupervised Performance Analysis of 3D Face Alignment

We address the problem of analyzing the performance of 3D face alignment...

0 Mostafa Sadeghi, et al. ∙

research

∙ 03/15/2020

GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling

Unsupervised image-to-image translation (UNIT) aims at learning a mappin...

0 Yahui Liu, et al. ∙

research

∙ 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...

0 Mostafa Sadeghi, et al. ∙

research

∙ 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...

0 Mostafa Sadeghi, et al. ∙

research

∙ 10/24/2019

A Recurrent Variational Autoencoder for Speech Enhancement

This paper presents a generative approach to speech enhancement based on...

0 Simon Leglaive, et al. ∙

research

∙ 08/07/2019

Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoder

Variational auto-encoders (VAEs) are deep generative latent variable mod...

0 Mostafa Sadeghi, et al. ∙

research

∙ 06/15/2019

DeepMOT: A Differentiable Framework for Training Multiple Object Trackers

Multiple Object Tracking accuracy and precision (MOTA and MOTP) are two ...

0 Yihong Xu, et al. ∙

research

∙ 04/02/2019

Camera Adversarial Transfer for Unsupervised Person Re-Identification

Unsupervised person re-identification (Re-ID) methods consist of trainin...

0 Guillaume Delorme, et al. ∙

research

∙ 12/19/2018

Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM

In this paper, we address the problem of simultaneously tracking several...

0 Yutong Ban, et al. ∙

research

∙ 12/11/2018

A cascaded multiple-speaker localization and tracking system

This paper presents an online multiple-speaker localization and tracking...

0 Xiaofei Li, et al. ∙

research

∙ 09/28/2018

Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers

In this paper we address the problem of tracking multiple speakers via t...

14 Yutong Ban, et al. ∙

research

∙ 09/28/2018

Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments

This paper addresses the problem of online multiple-speaker localization...

0 Xiaofei Li, et al. ∙

research

∙ 08/28/2018

DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model

In this paper, we address the problem of how to robustly train a ConvNet...

0 Stéphane Lathuilière, et al. ∙

research

∙ 03/22/2018

A Comprehensive Analysis of Deep Regression

Deep learning revolutionized data science, and recently, its popularity ...

2 Stéphane Lathuilière, et al. ∙

research

∙ 03/05/2018

Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval

In this paper we address the problem of learning robust cross-domain rep...

0 Dan Xu, et al. ∙

research

∙ 02/06/2018

Every Smile is Unique: Landmark-Guided Diverse Smile Generation

Each smile is unique: one person surely smiles in different ways (e.g., ...

0 Wang Wei, et al. ∙

research

∙ 01/01/2018

Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction

Recent works have shown that exploiting multi-scale representations deep...

0 Dan Xu, et al. ∙

research

∙ 04/06/2017

How to Make an Image More Memorable? A Deep Style Transfer Approach

Recent works have shown that it is possible to automatically predict int...

0 Aliaksandr Siarohin, et al. ∙

research

∙ 03/11/2017

Viraliency: Pooling Local Virality

In our overly-connected world, the automatic recognition of virality - t...

0 Xavier Alameda-Pineda, et al. ∙

Xavier Alameda-Pineda

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