Xavier Alameda-Pineda
19 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (48)
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(93)
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Century Club Β· Bronze
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Conference Pioneer
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Research topics
Deep Learning
(12)
Computer Vision
(11)
Machine Learning
(11)
Architectures
(8)
Analysis
(7)
Core Methods
(7)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Core AI Β· Artificial Intelligence
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Learning Types Β· Deep Learning
(4)
Core AI Β· Computer Vision
(3)
Techniques
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Models
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Processing
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Mathematics & Optimization
(1)
Keywords
self-supervised learning
(3)
human motion prediction
(2)
generative model
(2)
image classification
(2)
deep learning
(2)
recurrent neural network
(2)
variational autoencoder
(2)
continual learning
(1)
contrastive learning
(1)
sequence modeling
(1)
object detection
(1)
video generation
(1)
sound source localization
(1)
attention mechanism
(1)
transductive learning
(1)
3d reconstruction
(1)
audio-visual learning
(1)
multi-label classification
(1)
motion forecasting
(1)
computer vision
(1)
Papers
MEGA: Masked Generative Autoencoder for Human Mesh Recovery
CVPR 2025
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
ECCV 2024
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space
ECCV 2024
Back to MLP: A Simple Baseline for Human Motion Prediction
WACV 2023
Semi-Supervised Learning Made Simple With Self-Supervised Clustering
CVPR 2023
Unsupervised speech enhancement with deep dynamical generative speech and noise models
Interspeech 2023
Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination
IJCAI 2022
A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos
CVPR 2022
Multi-Person Extreme Motion Prediction
CVPR 2022
Self-Supervised Models Are Continual Learners
CVPR 2022
A Benchmark of Dynamical Variational Autoencoders Applied to Speech Spectrogram Modeling
Interspeech 2021
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation
WACV 2021
How to Train Your Deep Multi-Object Tracker
CVPR 2020
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model
ECCV 2018
Every Smile Is Unique: Landmark-Guided Diverse Smile Generation
CVPR 2018
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
NeurIPS 2017
Viraliency: Pooling Local Virality
CVPR 2017
Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion
CVPR 2016
Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions
CVPR 2016