| Seeing small faces from robust anchor's perspective C Zhu, R Tao, K Luu, M Savvides Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 145 | 2018 |
| SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning H Chen, R Tao, Y Fan, Y Wang, J Wang, B Schiele, X Xie, B Raj, ... arXiv preprint arXiv:2301.10921, 2023 | 102 | 2023 |
| Usb: A unified semi-supervised learning benchmark for classification Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ... Advances in Neural Information Processing Systems 35, 3938-3961, 2022 | 78 | 2022 |
| Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets H Chen, R Tao, H Zhang, Y Wang, W Ye, J Wang, G Hu, M Savvides arXiv preprint arXiv:2208.07463, 2022 | 35 | 2022 |
| Powering Finetuning in Few-shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R Tao, H Zhang, Y Zheng, M Savvides arXiv preprint arXiv:2204.03749, 2022 | 17* | 2022 |
| Usb: A unified semi-supervised learning benchmark Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ... Conference on Neural Information Processing Systems (NeurIPS), 2022 | 12 | 2022 |
| Unsupervised Disentanglement of Linear-Encoded Facial Semantics Y Zheng, YK Huang, R Tao, Z Shen, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
| Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations H Chen, A Shah, J Wang, R Tao, Y Wang, X Xie, M Sugiyama, R Singh, ... arXiv preprint arXiv:2305.12715, 2023 | 8 | 2023 |
| System and method for the automatic enrollment of object images into a gallery M Savvides, C Zhu, F Chen, U Ahmed, R Tao US Patent 11,915,463, 2024 | 5 | 2024 |
| Is pose really solved? a frontalization study on off-angle face matching D Pal, C Bhagavatula, Y Zheng, R Tao, M Savvides 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2058-2067, 2019 | 5 | 2019 |
| UNDERSTANDING AND MITIGATING THE LABEL NOISE IN PRE-TRAINING ON DOWNSTREAM TASKS H Chen, J Wang, A Shah, R Tao, H Wei, X Xie, M Sugiyama, B Raj arXiv preprint arXiv:2309.17002, 2023 | 4 | 2023 |
| Learning with Noisy Foundation Models H Chen, J Wang, Z Wang, R Tao, H Wei, X Xie, M Sugiyama, B Raj arXiv preprint arXiv:2403.06869, 2024 | 2 | 2024 |
| Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization R Tao, H Chen, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| System and method for associating products and product labels S Skaff, M Savvides, U Ahmed, S Nallamothu, R Tao, N Mohan US Patent App. 17/425,290, 2022 | 2 | 2022 |
| System and method for identifying misplaced products in a shelf management system M Savvides, S Nallamothu, M Kannan, U Ahmed, R Tao, Y Zheng US Patent App. 17/400,996, 2022 | 2 | 2022 |
| SYSTEM AND METHOD FOR DOMAIN-AGNOSTIC BIAS REDUCTION WITH SELECTED SAMPLING FOR FEW-SHOT LEARNING R Tao, M Savvides US Patent App. 18/267,540, 2024 | | 2024 |
| System and method for unsupervised object deformation using feature map-level data augmentation R Tao, M Savvides, H Zhang US Patent App. 18/267,543, 2024 | | 2024 |
| System and method for improved few-shot object detection using a dynamic semantic network M Savvides, C Zhu, F Chen, U Ahmed, R Tao US Patent App. 18/266,744, 2024 | | 2024 |
| Towards Learning with Limited Supervision: Efficient Few-shot and Semi-supervised Classification for Vision Tasks R Tao Carnegie Mellon University, 2023 | | 2023 |
| Few-shot object detection using semantic relation reasoning M Savvides, C Zhu, F Chen, U Ahmed, R Tao US Patent App. 17/408,674, 2022 | | 2022 |
