Publications associées à Modèle discriminatif

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Alexandre Massoud Alahi, Mohamed Ossama Ahmed Abdelfattah, Mariam Ahmed Mahmoud Hegazy Hassan

Current transformer-based skeletal action recognition models tend to focus on a limited set of joints and low-level motion patterns to predict action classes. This results in significant performance degradation under small skeleton perturbations or changin ...

2024

Robust Outlier Rejection for 3D Registration with Variational Bayes

Mathieu Salzmann, Jiancheng Yang, Zheng Dang, Zhen Wei, Haobo Jiang

Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The core for this to be successful is to learn the discriminative inlier/outlier f ...

Los Alamitos2023

An Ordinal Latent Variable Model of Conflict Intensity

Robert West

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of '' who did what to whom '' micro-records that enable datadriven approaches to monitoring confl ...

Assoc Computational Linguistics-Acl2023

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

Mathieu Salzmann, Jiancheng Yang, Zheng Dang, Haobo Jiang

In this paper, we propose a novel center-based decoupled point cloud registration framework for robust 6D object pose estimation in real-world scenarios. Our method decouples the translation from the entire transformation by predicting the object center an ...

Ieee Computer Soc2023

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Olga Fink, Gaëtan Michel Frusque, Tianfu Li, Qi Li, Baorui Dai

The application of unsupervised domain adaptation (UDA)-based fault diagnosis methods has shown significant efficacy in industrial settings, facilitating the transfer of operational experience and fault signatures between different operating conditions, di ...

2023

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Olga Fink, Gaëtan Michel Frusque, Qi Li, Baorui Dai

Research Publishing2023

Autoencoders reloaded

Hervé Bourlard, Selen Hande Kabil

In Bourlard and Kamp (Biol Cybern 59(4):291-294, 1998), it was theoretically proven that autoencoders (AE) with single hidden layer (previously called "auto-associative multilayer perceptrons") were, in the best case, implementing singular value decomposit ...

SPRINGER2022

Contextually Plausible and Diverse 3D Human Motion Prediction

Mathieu Salzmann, Fatemehsadat Saleh

We tackle the task of diverse 3D human motion prediction, that is, forecasting multiple plausible future 3D poses given a sequence of observed 3D poses. In this context, a popular approach consists of using a Conditional Variational Autoencoder (CVAE). How ...

IEEE2021

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Modèle discriminatif

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Robust Outlier Rejection for 3D Registration with Variational Bayes

An Ordinal Latent Variable Model of Conflict Intensity

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

Autoencoders reloaded

Contextually Plausible and Diverse 3D Human Motion Prediction

Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection

Graph Chatbot

Chattez avec Graph Search

Robust Outlier Rejection for 3D Registration with Variational Bayes

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

An Ordinal Latent Variable Model of Conflict Intensity

Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection

Contextually Plausible and Diverse 3D Human Motion Prediction

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

Autoencoders reloaded