| 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 | 595 | 2021 |
| 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 | 181 | 2022 |
| 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 | 83 | 2023 |
| REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking C Neff, M Mendieta, S Mohan, M Baharani, S Rogers, H Tabkhi IEEE Internet of Things Journal 7 (4), 2591-2602, 2019 | 73 | 2019 |
| 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 | 72* | 2023 |
| 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 | 70 | 2021 |
| 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 | 29 | 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 | 29 | 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 | 22 | 2021 |
| 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 | 18 | 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 | 18 | 2023 |
| Exploring parameter-efficient fine-tuning for improving communication efficiency in federated learning G Sun, M Mendieta, T Yang, C Chen | 17 | 2022 |
| A novel application/infrastructure co-design approach for real-time edge video analytics M Mendieta, C Neff, D Lingerfelt, C Beam, A George, S Rogers, ... 2019 SoutheastCon, 1-7, 2019 | 17 | 2019 |
| A3d: Adaptive 3d networks for video action recognition S Zhu, T Yang, M Mendieta, C Chen arXiv preprint arXiv:2011.12384, 2020 | 16 | 2020 |
| Conquering the communication constraints to enable large pre-trained models in federated learning G Sun, U Khalid, M Mendieta, T Yang, P Wang, M Lee, C Chen arXiv preprint arXiv:2210.01708, 2022 | 14 | 2022 |
| 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 | 12 | 2023 |
| Measuring compute-reuse opportunities for video processing acceleration A Willis, H Tabkhi, M Mendieta, C Neff 2019 SoutheastCon, 1-7, 2019 | 4 | 2019 |
| HeatER: An Efficient and Unified Network for Human Reconstruction via Heatmap-based TransformER C Zheng, M Mendieta, T Yang, C Chen CoRR, 2022 | 2 | 2022 |
| Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning G Sun, U Khalid, M Mendieta, P Wang, C Chen 2024 IEEE International Conference on Big Data (BigData), 8015-8024, 2024 | | 2024 |
| Towards Multi-modal Transformers in Federated Learning G Sun, M Mendieta, A Dutta, X Li, C Chen European Conference on Computer Vision, 229-246, 2024 | | 2024 |