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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...
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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...
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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...
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06/13/2023
Semi-supervised learning made simple with self-supervised clustering
Self-supervised learning models have been shown to learn rich visual rep...
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06/09/2023
Motion-DVAE: Unsupervised learning for fast human motion denoising
Pose and motion priors are crucial for recovering realistic and accurate...
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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...
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03/07/2023
Speech Modeling with a Hierarchical Transformer Dynamical VAE
The dynamical variational autoencoders (DVAEs) are a family of latent-va...
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11/02/2022
Autoregressive GAN for Semantic Unconditional Head Motion Generation
We address the task of unconditional head motion generation to animate s...
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07/04/2022
Back to MLP: A Simple Baseline for Human Motion Prediction
This paper tackles the problem of human motion prediction, consisting in...
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06/07/2022
Variational Meta Reinforcement Learning for Social Robotics
With the increasing presence of robots in our every-day environments, im...
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04/26/2022
Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining
The recent success of audio-visual representation learning can be largel...
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04/14/2022
Learning and controlling the source-filter representation of speech with a variational autoencoder
Understanding and controlling latent representations in deep generative ...
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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...
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03/26/2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
A fundamental and challenging problem in deep learning is catastrophic f...
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02/18/2022
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder
In this paper, we present an unsupervised probabilistic model and associ...
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02/01/2022
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Over the past years, semantic segmentation, as many other tasks in compu...
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12/08/2021
Self-Supervised Models are Continual Learners
Self-supervised models have been shown to produce comparable or better v...
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11/04/2021
Successor Feature Neural Episodic Control
A longstanding goal in reinforcement learning is to build intelligent ag...
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10/29/2021
Xi-Learning: Successor Feature Transfer Learning for General Reward Functions
Transfer in Reinforcement Learning aims to improve learning performance ...
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06/23/2021
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
Dynamical variational auto-encoders (DVAEs) are a class of deep generati...
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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...
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05/18/2021
Multi-Person Extreme Motion Prediction with Cross-Interaction Attention
Human motion prediction aims to forecast future human poses given a sequ...
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03/28/2021
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking
Transformer networks have proven extremely powerful for a wide variety o...
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03/10/2021
SocialInteractionGAN: Multi-person Interaction Sequence Generation
Prediction of human actions in social interactions has important applica...
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03/05/2021
Variational Structured Attention Networks for Deep Visual Representation Learning
Convolutional neural networks have enabled major progress in addressing ...
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01/08/2021
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction
Multi-scale representations deeply learned via convolutional neural netw...
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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...
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08/28/2020
Dynamical Variational Autoencoders: A Comprehensive Review
The Variational Autoencoder (VAE) is a powerful deep generative model th...
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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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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...
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06/02/2020
Variational Inference and Learning of Piecewise-linear Dynamical Systems
Modeling the temporal behavior of data is of primordial importance in ma...
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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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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...
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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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10/24/2019
A Recurrent Variational Autoencoder for Speech Enhancement
This paper presents a generative approach to speech enhancement based on...
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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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06/15/2019
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers
Multiple Object Tracking accuracy and precision (MOTA and MOTP) are two ...
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04/02/2019
Camera Adversarial Transfer for Unsupervised Person Re-Identification
Unsupervised person re-identification (Re-ID) methods consist of trainin...
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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...
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12/11/2018
A cascaded multiple-speaker localization and tracking system
This paper presents an online multiple-speaker localization and tracking...
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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...
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09/28/2018
Online Localization and Tracking of Multiple Moving Speakers in Reverberant Environments
This paper addresses the problem of online multiple-speaker localization...
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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...
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03/22/2018
A Comprehensive Analysis of Deep Regression
Deep learning revolutionized data science, and recently, its popularity ...
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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...
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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., ...
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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...
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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...
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03/11/2017
