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2020 – today
- 2024
[c18]Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi:
SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection. CVPR 2024: 16634-16644- [c17]Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez:
Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation. ECCV (45) 2024: 456-473 - [c16]Ciprian-Mihai Ceausescu, Bogdan Alexe, Riccardo Volpi:
Coreset Based Medical Image Anomaly Detection and Segmentation. VISIGRAPP (4): VISAPP 2024: 549-558 - [i28]Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez:
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation. CoRR abs/2402.16392 (2024) - [i27]Tyler L. Hayes, César R. de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus:
PANDAS: Prototype-based Novel Class Discovery and Detection. CoRR abs/2402.17420 (2024) - [i26]Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi:
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection. CoRR abs/2405.10053 (2024) - [i25]Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi:
What could go wrong? Discovering and describing failure modes in computer vision. CoRR abs/2408.04471 (2024) - 2023
- [c15]Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus:
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoLLAs 2023: 244-269 - [c14]Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez:
Reliability in Semantic Segmentation: Are we on the Right Track? CVPR 2023: 7173-7182 - [i24]Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii:
Semantic Image Segmentation: Two Decades of Research. CoRR abs/2302.06378 (2023) - [i23]Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez:
Reliability in Semantic Segmentation: Are We on the Right Track? CoRR abs/2303.11298 (2023) - [i22]Subhankar Roy
, Riccardo Volpi, Gabriela Csurka, Diane Larlus:
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoRR abs/2305.19879 (2023) - 2022
- [j7]Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii:
Semantic Image Segmentation: Two Decades of Research. Found. Trends Comput. Graph. Vis. 14(1-2): 1-162 (2022) - [j6]Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay:
Natural Reweighted Wake-Sleep. Neural Networks 155: 574-591 (2022) - [c13]Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka:
On the Road to Online Adaptation for Semantic Image Segmentation. CVPR 2022: 19162-19173 - [c12]Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. NeurIPS 2022 - [i21]Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. CoRR abs/2202.01181 (2022) - [i20]Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka:
On the Road to Online Adaptation for Semantic Image Segmentation. CoRR abs/2203.16195 (2022) - 2021
- [j5]Riccardo Volpi, Uddhipan Thakur, Luigi Malagò:
Changing the Geometry of Representations: α-Embeddings for NLP Tasks. Entropy 23(3): 287 (2021) - [c11]Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino:
Learning Unbiased Representations via Mutual Information Backpropagation. CVPR Workshops 2021: 2729-2738 - [c10]Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. CVPR Workshops 2021: 3233-3242 - [c9]Riccardo Volpi, Diane Larlus, Grégory Rogez:
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. CVPR 2021: 4443-4453 - [i19]Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò:
Automatic Feature Extraction for Heartbeat Anomaly Detection. CoRR abs/2102.12289 (2021) - [i18]Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii:
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey. CoRR abs/2112.03241 (2021) - 2020
- [j4]Andrea Zunino, Jacopo Cavazza, Riccardo Volpi, Pietro Morerio, Andrea Cavallo, Cristina Becchio, Vittorio Murino:
Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach. Int. J. Comput. Vis. 128(1): 220-239 (2020) - [j3]Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi:
Constraining the Reionization History using Bayesian Normalizing Flows. Mach. Learn. Sci. Technol. 1(3): 35014 (2020) - [c8]Petru Hlihor, Riccardo Volpi, Luigi Malagò:
Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks. NLDL 2020: 1-6 - [c7]Riccardo Volpi, Luigi Malagò:
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks. RepL4NLP@ACL 2020: 61-71 - [c6]Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino:
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. WACV 2020: 3119-3128 - [i17]Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino:
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. CoRR abs/2001.02950 (2020) - [i16]Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino:
Learning Unbiased Representations via Mutual Information Backpropagation. CoRR abs/2003.06430 (2020) - [i15]Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. CoRR abs/2003.06498 (2020) - [i14]Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò:
Parameters Estimation from the 21 cm signal using Variational Inference. CoRR abs/2005.02299 (2020) - [i13]Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi:
Constraining the Reionization History using Bayesian Normalizing Flows. CoRR abs/2005.07694 (2020) - [i12]Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay:
Natural Wake-Sleep Algorithm. CoRR abs/2008.06687 (2020) - [i11]Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi:
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. CoRR abs/2008.06729 (2020) - [i10]Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò:
Accelerating MCMC algorithms through Bayesian Deep Networks. CoRR abs/2011.14276 (2020) - [i9]Riccardo Volpi, Diane Larlus, Grégory Rogez:
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CoRR abs/2012.04324 (2020)
2010 – 2019
- 2019
- [b1]Riccardo Volpi:
Regularization, Adaptation and Generalization of Neural Networks. University of Genoa, Italy, 2019 - [c5]Riccardo Volpi, Vittorio Murino:
Model Vulnerability to Distributional Shifts over Image Transformation Sets. CVPR Workshops 2019: 33-35 - [c4]Riccardo Volpi, Vittorio Murino:
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets. ICCV 2019: 7979-7988 - [i8]Riccardo Volpi, Vittorio Murino:
Model Vulnerability to Distributional Shifts over Image Transformation Sets. CoRR abs/1903.11900 (2019) - [i7]Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò:
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. CoRR abs/1911.08508 (2019) - [i6]Riccardo Volpi, Luigi Malagò:
Natural Alpha Embeddings. CoRR abs/1912.02280 (2019) - 2018
- [c3]Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino:
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CVPR 2018: 5495-5504 - [c2]Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese:
Generalizing to Unseen Domains via Adversarial Data Augmentation. NeurIPS 2018: 5339-5349 - [i5]Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese:
Generalizing to Unseen Domains via Adversarial Data Augmentation. CoRR abs/1805.12018 (2018) - [i4]Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò:
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. CoRR abs/1807.01889 (2018) - 2017
- [j2]Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski, Ingrid Hotz:
Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design. Informatics 4(3): 25 (2017) - [j1]Riccardo Volpi, Mathieu Linares:
Study of the cold charge transfer state separation at the TQ1/PC71BM interface. J. Comput. Chem. 38(14): 1039-1048 (2017) - [c1]Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino:
Curriculum Dropout. ICCV 2017: 3564-3572 - [i3]Matteo Zanotto, Riccardo Volpi, Alessandro Maccione, Luca Berdondini, Diego Sona, Vittorio Murino:
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines. CoRR abs/1701.02898 (2017) - [i2]Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino:
Curriculum Dropout. CoRR abs/1703.06229 (2017) - [i1]Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino:
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CoRR abs/1711.08561 (2017)
Coauthor Index
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