| Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models M Mendieta, G Sun, C Chen arXiv preprint arXiv:2405.01494, 2024 | | 2024 |
| Towards Multi-modal Transformers in Federated Learning G Sun, M Mendieta, A Dutta, X Li, C Chen arXiv preprint arXiv:2404.12467, 2024 | | 2024 |
| Custom policy checks help democratize automated reasoning J Dunham Policy, 2023 | | 2023 |
| Exploring Modality Collaboration with Modality-Agnostic Transformers in Multi-Modal Federated Learning G Sun, M Mendieta, C Chen | | 2023 |
| Towards geospatial foundation models via continual pretraining M Mendieta, B Han, X Shi, Y Zhu, C Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 30* | 2023 |
| Fedperfix: Towards partial model personalization of vision transformers in federated learning G Sun, M Mendieta, J Luo, S Wu, C Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| PGFed: Personalize Each Client's Global Objective for Federated Learning J Luo, M Mendieta, C Chen, S Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Feater: An efficient network for human reconstruction via feature map-based transformer C Zheng, M Mendieta, T Yang, GJ Qi, C Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Poster: A pyramid cross-fusion transformer network for facial expression recognition C Zheng, M Mendieta, C Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 38 | 2023 |
| A lightweight graph transformer network for human mesh reconstruction from 2d human pose C Zheng, M Mendieta, P Wang, A Lu, C Chen Proceedings of the 30th ACM international conference on multimedia, 5496-5507, 2022 | 25 | 2022 |
| Conquering the Communication Constraints to Enable Large Pre-Trained Models in Federated Learning G Sun, M Mendieta, T Yang, C Chen arXiv preprint arXiv:2210.01708, 2022 | 6 | 2022 |
| Exploring parameter-efficient fine-tuning for improving communication efficiency in federated learning G Sun, M Mendieta, T Yang, C Chen | 10 | 2022 |
| Customizing product announcements based on product usage A Chakra, J Stevens, M Mendieta, P Bui, K Rashad US Patent 11,379,851, 2022 | | 2022 |
| HeatER: An Efficient and Unified Network for Human Reconstruction via Heatmap-based TransformER C Zheng, M Mendieta, T Yang, C Chen arXiv preprint arXiv:2205.15448, 2022 | 2 | 2022 |
| Local learning matters: Rethinking data heterogeneity in federated learning M Mendieta, T Yang, P Wang, M Lee, Z Ding, C Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 117 | 2022 |
| Mutualnet: Adaptive convnet via mutual learning from different model configurations T Yang, S Zhu, M Mendieta, P Wang, R Balakrishnan, M Lee, T Han, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 811-827, 2021 | 20 | 2021 |
| Carpe posterum: A convolutional approach for real-time pedestrian path prediction M Mendieta, H Tabkhi Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2346-2354, 2021 | 18 | 2021 |
| Detection of genuine social media profiles A Chakra, P Bui, K Rashad, M Mendieta US Patent 10,924,499, 2021 | | 2021 |
| Mez: An adaptive messaging system for latency-sensitive multi-camera machine vision at the iot edge A George, A Ravindran, M Mendieta, H Tabkhi IEEE Access 9, 21457-21473, 2021 | 62 | 2021 |
| 3d human pose estimation with spatial and temporal transformers C Zheng, S Zhu, M Mendieta, T Yang, C Chen, Z Ding Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 437 | 2021 |
