| On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data R Alcover-Couso, JC SanMiguel, M Escudero-Vinolo, A Garcia-Martin Multimedia Tools and Applications 82 (23), 35879-35911, 2023 | 3 | 2023 |
| Soft labelling for semantic segmentation: Bringing coherence to label down-sampling R Alcover-Couso, M Escudero-Vinolo, JC SanMiguel, JM Martinez arXiv preprint arXiv:2302.13961, 2023 | 3 | 2023 |
| Per-class curriculum for unsupervised domain adaptation in semantic segmentation R Alcover-Couso, JC SanMiguel, M Escudero-Vinolo, P Carballeira The Visual Computer, 1-19, 2024 | 2 | 2024 |
| Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models P Marcos-Manchón, R Alcover-Couso, JC SanMiguel, JM Martínez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models. R Alcover-Couso, JC SanMiguel, M Escudero-Viñolo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks R Alcover-Couso, M Escudero-Viñolo, JC SanMiguel, J Bescós arXiv preprint arXiv:2407.01327, 2024 | | 2024 |
| How SAM Perceives Different mp-MRI Brain Tumor Domains? C Diana-Albelda, R Alcover-Couso, Á García-Martín, J Bescos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| The Robust Semantic Segmentation UNCV2023 Challenge Results Y Xuanlong, Y Zuo, Z Wang, X Zhang, J Zhao, Y Yang, L Jiao, R Peng, ... Titolo volume non avvalorato, 2023 | | 2023 |
| The Robust Semantic Segmentation UNCV2023 Challenge Results X Yu, Y Zuo, Z Wang, X Zhang, J Zhao, Y Yang, L Jiao, R Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
Juan C. SanMiguel (ORCID: 0000-000...Universidad Autónoma de Madrid (https://ror.org/01cby8j38)在 uam.es 的电子邮件经过验证
