| Certifying Some Distributional Robustness with Principled Adversarial Training A Sinha, H Namkoong, R Volpi, J Duchi arXiv:1710.10571v5 [stat.ML], 2020 | 1182 | 2020 |
| Generalizing to Unseen Domains via Adversarial Data Augmentation R Volpi, H Namkoong, O Sener, J Duchi, V Murino, S Savarese Advances in Neural Information Processing Systems (NeurIPS), 2018 | 906 | 2018 |
| Adversarial Feature Augmentation for Unsupervised Domain Adaptation R Volpi, P Morerio, S Savarese, V Murino Computer Vision and Pattern Recognition (CVPR), 2018 | 289 | 2018 |
| Curriculum Dropout P Morerio, J Cavazza, R Volpi, R Vidal, V Murino International Conference on Computer Vision (ICCV), 2017 | 121 | 2017 |
| Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets R Volpi, V Murino International Conference on Computer Vision (ICCV), 2019 | 119 | 2019 |
| Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning R Volpi, D Larlus, G Rogez Computer Vision and Pattern Recognition (CVPR), 2021 | 89 | 2021 |
| Generative Pseudo-label Refinement for Unsupervised Domain Adaptation P Morerio, R Volpi, R Ragonesi, V Murino Winter Conference on Applications of Computer Vision (WACV), 2020 | 62 | 2020 |
| Make Some Noise: Reliable and Efficient Single-Step Adversarial Training P de Jorge, A Bibi, R Volpi, A Sanyal, PHS Torr, G Rogez, PK Dokania Advances in Neural Information Processing Systems (NeurIPS), 2022 | 60* | 2022 |
| Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey G Csurka, R Volpi, B Chidlovskii arXiv:2112.03241 [cs.CV], 2021 | 51 | 2021 |
| Explainable Deep Classification Models for Domain Generalization A Zunino, SA Bargal, R Volpi, M Sameki, J Zhang, S Sclaroff, V Murino, ... IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision, 2021 | 48 | 2021 |
| Semantic image segmentation: Two decades of research G Csurka, R Volpi, B Chidlovskii Foundations and Trends® in Computer Graphics and Vision 14 (1-2), 1-162, 2022 | 42 | 2022 |
| Learning Unbiased Representations via Mutual Information Backpropagation R Ragonesi, R Volpi, J Cavazza, V Murino Learning from Limited and Imperfect Data (L2ID) Workshop at CVPR, 2021 | 33 | 2021 |
| On the Road to Online Adaptation for Semantic Image Segmentation R Volpi, P de Jorge, D Larlus, G Csurka Computer Vision and Pattern Recognition (CVPR), 2022 | 32 | 2022 |
| Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach A Zunino, J Cavazza, R Volpi, P Morerio, A Cavallo, C Becchio, V Murino International Journal of Computer Vision (IJCV), 2019 | 26 | 2019 |
| Reliability in Semantic Segmentation: Are We on the Right Track? P de Jorge, R Volpi, P Torr, G Rogez Computer Vision and Pattern Recognition (CVPR), 2023 | 20 | 2023 |
| Modeling a population of retinal ganglion cells with restricted Boltzmann machines R Volpi, M Zanotto, A Maccione, S Di Marco, L Berdondini, D Sona, ... Scientific Reports 10 (16549), 2020 | 14* | 2020 |
| RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation S Roy, R Volpi, G Csurka, D Larlus Conference on Lifelong Learning Agents (CoLLAs), 2023 | 5 | 2023 |
| Understanding action concepts from videos and brain activity through subjects’ consensus J Cavazza, W Ahmed, R Volpi, P Morerio, F Bossi, C Willemse, ... Scientific Reports 12 (1), 19073, 2022 | 5 | 2022 |
| PANDAS: Prototype-based Novel Class Discovery and Detection TL Hayes, CR de Souza, N Kim, J Kim, R Volpi, D Larlus Conference on Lifelong Learning Agents (CoLLAs), 2024 | 3 | 2024 |
| What could go wrong? Discovering and describing failure modes in computer vision G Csurka, TL Hayes, D Larlus, R Volpi arXiv:2408.04471 [cs.CV], 2024 | 3 | 2024 |
Vittorio MurinoProfessor @ University of Verona. PI of AIGO - AI for Good @ Italian Institute of Technology.Verified email at iit.it
