| Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound S Roy, W Menapace, S Oei, B Luijten, E Fini, C Saltori, I Huijben, ... IEEE Transactions on Medical Imaging (TMI), 2020 | 582 | 2020 |
| Unsupervised domain adaptation using feature-whitening and consensus loss S Roy, A Siarohin, E Sangineto, SR Bulo, N Sebe, E Ricci IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 194 | 2019 |
| Neighborhood Contrastive Learning for Novel Class Discovery Z Zhong, E Fini, S Roy, Z Luo, E Ricci, N Sebe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10867 …, 2021 | 153 | 2021 |
| Metric-learning based deep hashing network for content based retrieval of remote sensing images S Roy, E Sangineto, B Demir, N Sebe IEEE Geoscience and Remote Sensing Letters (GRSL), 2019 | 84 | 2019 |
| Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation S Roy, E Krivosheev, Z Zhong, N Sebe, E Ricci IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 70 | 2021 |
| Uncertainty-guided Source-free Domain Adaptation S Roy, M Trapp, A Pilzer, J Kannala, N Sebe, E Ricci, A Solin European Conference on Computer Vision (ECCV), 2022 | 60 | 2022 |
| Class-incremental Novel Class Discovery S Roy, M Liu, Z Zhong, N Sebe, E Ricci European Conference on Computer Vision (ECCV), 2022 | 43 | 2022 |
| Motion-supervised Co-Part Segmentation A Siarohin*, S Roy*, S Lathuilière, S Tulyakov, E Ricci, N Sebe International Conference on Pattern Recognition (ICPR), 2020 | 41* | 2020 |
| Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification S Roy, E Sangineto, N Sebe, B Demir IEEE International Conference on Image Processing (ICIP), 2018 | 41 | 2018 |
| Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images S Roy, E Sangineto, B Demir, N Sebe IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018 | 31 | 2018 |
| One-shot unsupervised domain adaptation with personalized diffusion models Y Benigmim, S Roy, S Essid, V Kalogeiton, S Lathuilière Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 19* | 2023 |
| Trigan: Image-to-image translation for multi-source domain adaptation S Roy, A Siarohin, E Sangineto, N Sebe, E Ricci Machine vision and applications 32, 1-12, 2021 | 19 | 2021 |
| AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation G Zara, S Roy, P Rota, E Ricci IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 15 | 2023 |
| Regularized Evolutionary Algorithm for Dynamic Neural Topology Search C Saltori, S Roy, N Sebe, G Iacca International Conference on Image Analysis and Processing (ICIAP), 2019 | 13 | 2019 |
| Contrast, stylize and adapt: Unsupervised contrastive learning framework for domain adaptive semantic segmentation T Li, S Roy, H Zhou, H Lu, S Lathuilière Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation G Zara, A Conti, S Roy, S Lathuilière, P Rota, E Ricci IEEE/CVF International Conference on Computer Vision (ICCV), 10307-10317, 2023 | 8* | 2023 |
| Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation Y Zhang, S Roy, H Lu, E Ricci, S Lathuilière Winter Conference on Applications of Computer Vision (WACV), 2023 | 8 | 2023 |
| Large-scale pre-trained models are surprisingly strong in incremental novel class discovery M Liu, S Roy, Z Zhong, N Sebe, E Ricci arXiv preprint arXiv:2303.15975, 2023 | 7 | 2023 |
| Democratizing Fine-grained Visual Recognition with Large Language Models M Liu, S Roy, W Li, Z Zhong, N Sebe, E Ricci International Conference on Learning Representations (ICLR), 2024 | 5 | 2024 |
| Simplifying open-set video domain adaptation with contrastive learning G Zara, VGT da Costa, S Roy, P Rota, E Ricci Computer Vision and Image Understanding 241, 103953, 2024 | 4 | 2024 |
Elisa RicciUniversity of Trento & Fondazione Bruno KesslerVerified email at unitn.it
