Mendieta, Matias

10 publications

WACV 2025 Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models Matias Mendieta, Guangyu Sun, Chen Chen

ECCV 2024 Towards Multi-Modal Transformers in Federated Learning Guangyu Sun, Matias Mendieta, Aritra Dutta, Xin Li, Chen Chen

CVPR 2023 FeatER: An Efficient Network for Human Reconstruction via Feature mAP-Based TransformER Ce Zheng, Matias Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen

ICCV 2023 FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning Guangyu Sun, Matias Mendieta, Jun Luo, Shandong Wu, Chen Chen

ICCV 2023 PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo, Matias Mendieta, Chen Chen, Shandong Wu

ICCVW 2023 POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition Ce Zheng, Matías Mendieta, Chen Chen

ICCV 2023 Towards Geospatial Foundation Models via Continual Pretraining Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen

CVPR 2022 Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matias Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen

ICCV 2021 3D Human Pose Estimation with Spatial and Temporal Transformers Ce Zheng, Sijie Zhu, Matias Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding

AAAI 2021 CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction Matías Mendieta, Hamed Tabkhi