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2020 – today
- 2024
[i16]Guangyu Sun, Matías Mendieta, Aritra Dutta, Xin Li, Chen Chen:
Towards Multi-modal Transformers in Federated Learning. CoRR abs/2404.12467 (2024)- [i15]Matías Mendieta, Guangyu Sun, Chen Chen:
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models. CoRR abs/2405.01494 (2024) - 2023
- [j3]Taojiannan Yang
, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 811-827 (2023) - [c9]Ce Zheng, Matías Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen:
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. CVPR 2023: 13945-13954 - [c8]Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. ICCV 2023: 3923-3933 - [c7]Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen:
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. ICCV 2023: 4965-4975 - [c6]Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen:
Towards Geospatial Foundation Models via Continual Pretraining. ICCV 2023: 16760-16770 - [c5]Ce Zheng, Matías Mendieta, Chen Chen:
POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition. ICCV (Workshops) 2023: 3138-3147 - [i14]Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, Mu Li:
GFM: Building Geospatial Foundation Models via Continual Pretraining. CoRR abs/2302.04476 (2023) - [i13]Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen:
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. CoRR abs/2308.09160 (2023) - 2022
- [c4]Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen:
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CVPR 2022: 8387-8396 - [c3]Ce Zheng, Matías Mendieta, Pu Wang, Aidong Lu, Chen Chen:
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose. ACM Multimedia 2022: 5496-5507 - [i12]Ce Zheng, Matías Mendieta, Chen Chen:
POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition. CoRR abs/2204.04083 (2022) - [i11]Ce Zheng, Matías Mendieta, Taojiannan Yang, Chen Chen:
HeatER: An Efficient and Unified Network for Human Reconstruction via Heatmap-based TransformER. CoRR abs/2205.15448 (2022) - [i10]Guangyu Sun, Matías Mendieta, Taojiannan Yang, Chen Chen:
Exploring Parameter-Efficient Fine-tuning for Improving Communication Efficiency in Federated Learning. CoRR abs/2210.01708 (2022) - [i9]Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. CoRR abs/2212.01448 (2022) - 2021
- [j2]Anjus George, Arun Ravindran, Matías Mendieta, Hamed Tabkhi:
Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge. IEEE Access 9: 21457-21473 (2021) - [c2]Matías Mendieta, Hamed Tabkhi:
CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction. AAAI 2021: 2346-2354 - [c1]Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding:
3D Human Pose Estimation with Spatial and Temporal Transformers. ICCV 2021: 11636-11645 - [i8]Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding:
3D Human Pose Estimation with Spatial and Temporal Transformers. CoRR abs/2103.10455 (2021) - [i7]Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations. CoRR abs/2105.07085 (2021) - [i6]Ce Zheng, Matías Mendieta, Pu Wang, Aidong Lu, Chen Chen:
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose. CoRR abs/2111.12696 (2021) - [i5]Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen:
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CoRR abs/2111.14213 (2021) - 2020
- [j1]Christopher Neff, Matías Mendieta, Shrey Mohan, Mohammadreza Baharani, Samuel Rogers, Hamed Tabkhi:
REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking. IEEE Internet Things J. 7(4): 2591-2602 (2020) - [i4]Matías Mendieta, Hamed Tabkhi:
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction. CoRR abs/2005.12469 (2020) - [i3]Anjus George, Arun Ravindran, Matías Mendieta, Hamed Tabkhi:
Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge. CoRR abs/2009.13549 (2020) - [i2]Sijie Zhu, Taojiannan Yang, Matías Mendieta, Chen Chen:
A3D: Adaptive 3D Networks for Video Action Recognition. CoRR abs/2011.12384 (2020)
2010 – 2019
- 2019
- [i1]Christopher Neff, Matías Mendieta, Shrey Mohan, Mohammadreza Baharani, Samuel Rogers, Hamed Tabkhi:
REVAMP2T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking. CoRR abs/1911.09217 (2019)
Coauthor Index
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