Matias Mendieta
9 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
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Hot Topic Early Bird
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Unstoppable · Bronze
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Learning Paradigms · Artificial Intelligence
(5)
Computer Vision
(4)
Deep Learning
(4)
Analysis
(3)
Application Areas
(3)
Architectures
(3)
Domain-Specific
(2)
Learning Types
(2)
Core AI
(1)
Learning Paradigms · Machine Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
federated learning
(3)
human pose estimation
(2)
data heterogeneity
(2)
vision transformer
(2)
client personalization
(2)
transfer learning
(1)
local learning
(1)
trajectory prediction
(1)
video understanding
(1)
model aggregation
(1)
distributed optimization
(1)
remote sensing
(1)
3d human pose estimation
(1)
empirical risk
(1)
real-time prediction
(1)
diffusion model
(1)
convolutional neural network
(1)
feature map
(1)
foundation model
(1)
continual pre-training
(1)
Papers
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
WACV 2025
Towards Multi-modal Transformers in Federated Learning
ECCV 2024
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
CVPR 2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
ICCV 2023
PGFed: Personalize Each Client's Global Objective for Federated Learning
ICCV 2023
Towards Geospatial Foundation Models via Continual Pretraining
ICCV 2023
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
CVPR 2022
3D Human Pose Estimation With Spatial and Temporal Transformers
ICCV 2021
CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction
AAAI 2021