REVAMP2T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking. - Christopher Neff; Matías Mendieta; Shrey Mohan; Mohammadreza Baharani; Samuel Rogers; Hamed Tabkhi (CoRR, 2019)

Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge. - Anjus George; Arun Ravindran; Matías Mendieta; Hamed Tabkhi (CoRR, 2020)

A3D: Adaptive 3D Networks for Video Action Recognition. - Sijie Zhu; Taojiannan Yang; Matías Mendieta; Chen Chen 001 (CoRR, 2020)

REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking. - Christopher Neff; Matías Mendieta; Shrey Mohan; Mohammadreza Baharani; Samuel Rogers; Hamed Tabkhi (IEEE Internet Things J., 2020)

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

3D Human Pose Estimation with Spatial and Temporal Transformers. - Ce Zheng; Sijie Zhu; Matías Mendieta; Taojiannan Yang; Chen Chen 001; Zhengming Ding (ICCV, 2021)

Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge. - Anjus George; Arun Ravindran; Matías Mendieta; Hamed Tabkhi (IEEE Access, 2021)

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. - Matías Mendieta; Taojiannan Yang; Pu Wang 001; Minwoo Lee 001; Zhengming Ding; Chen Chen 001 (CVPR, 2022)

A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose. - Ce Zheng; Matías Mendieta; Pu Wang 001; Aidong Lu; Chen Chen 001 (ACM Multimedia, 2022)

HeatER: An Efficient and Unified Network for Human Reconstruction via Heatmap-based TransformER. - Ce Zheng; Matías Mendieta; Taojiannan Yang; Chen Chen 001 (CoRR, 2022)

Exploring Parameter-Efficient Fine-tuning for Improving Communication Efficiency in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Taojiannan Yang; Chen Chen 001 (CoRR, 2022)

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. - Ce Zheng; Matías Mendieta; Taojiannan Yang; Guo-Jun Qi; Chen Chen 001 (CVPR, 2023)

PGFed: Personalize Each Client's Global Objective for Federated Learning. - Jun Luo 010; Matías Mendieta; Chen Chen 001; Shandong Wu (ICCV, 2023)

Towards Geospatial Foundation Models via Continual Pretraining. - Matías Mendieta; Boran Han; Xingjian Shi; Yi Zhu 001; Chen Chen 001 (ICCV, 2023)

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Jun Luo 010; Shandong Wu; Chen Chen 001 (ICCV, 2023)

POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition. - Ce Zheng; Matías Mendieta; Chen Chen 001 (ICCV (Workshops), 2023)

GFM: Building Geospatial Foundation Models via Continual Pretraining. - Matías Mendieta; Boran Han; Xingjian Shi; Yi Zhu 001; Chen Chen 001; Mu Li 003 (CoRR, 2023)

MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. - Taojiannan Yang; Sijie Zhu; Matías Mendieta; Pu Wang 001; Ravikumar Balakrishnan; Minwoo Lee 001; Tao Han 002; Mubarak Shah; Chen Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning. - Guangyu Sun 004; Umar Khalid; Matías Mendieta; Pu Wang 001; Chen Chen 001 (IEEE Big Data, 2024)

Towards Multi-modal Transformers in Federated Learning. - Guangyu Sun 004; Matías Mendieta; Aritra Dutta; Xin Li 022; Chen Chen 001 (ECCV (15), 2024)

Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models. - Matías Mendieta; Guangyu Sun 004; Chen Chen 001 (WACV, 2025)