| 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 | 147 | 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 | 136 | 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 | 109 | 2022 |
| Conv-adapter: Exploring parameter efficient transfer learning for convnets H Chen, R Tao, H Zhang, Y Wang, X Li, W Ye, J Wang, G Hu, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 38 | 2024 |
| 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 | 19* | 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 | 13 | 2021 |
| 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 | 10 | 2023 |
| 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 | 7 | 2023 |
| 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 | 6 | 2019 |
| 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 | 4 | 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 | 3 | 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 | 3 | 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 |
| Few-shot object detection using semantic relation reasoning M Savvides, C Zhu, F Chen, U Ahmed, R Tao US Patent 12,026,226, 2024 | | 2024 |
| 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 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 | | 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 |
| 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 | | 2022 |
