Riccardo Volpi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Visual Representations

Anomaly Detection

Weakly Supervised

Defense Mechanisms

Top Venues

Publications

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 (2024)
Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection. CoRR (2024)
Ciprian-Mihai Ceausescu, Bogdan Alexe, Riccardo Volpi
Coreset Based Medical Image Anomaly Detection and Segmentation. VISIGRAPP (4): VISAPP (2024)
Tyler L. Hayes, César R. de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
PANDAS: Prototype-based Novel Class Discovery and Detection. CoRR (2024)
Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez
Reliability in Semantic Segmentation: Are We on the Right Track? CoRR (2023)
Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoLLAs (2023)
Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez
Reliability in Semantic Segmentation: Are we on the Right Track? CVPR (2023)
Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoRR (2023)
Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii
Semantic Image Segmentation: Two Decades of Research. CoRR (2023)
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 (2022)
Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
Natural Reweighted Wake-Sleep. Neural Networks 155 (2022)
Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
On the Road to Online Adaptation for Semantic Image Segmentation. CoRR (2022)
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)
Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii
Semantic Image Segmentation: Two Decades of Research. Found. Trends Comput. Graph. Vis. 14 (1-2) (2022)
Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
On the Road to Online Adaptation for Semantic Image Segmentation. CVPR (2022)
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)
Riccardo Volpi, Uddhipan Thakur, Luigi Malagò
Changing the Geometry of Representations: α-Embeddings for NLP Tasks. Entropy 23 (3) (2021)
Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino
Learning Unbiased Representations via Mutual Information Backpropagation. CVPR Workshops (2021)
Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey. CoRR (2021)
Riccardo Volpi, Diane Larlus, Grégory Rogez
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. CVPR (2021)
Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò
Automatic Feature Extraction for Heartbeat Anomaly Detection. CoRR (2021)
Riccardo Volpi, Diane Larlus, Grégory Rogez
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CoRR (2020)
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) (2020)
Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. WACV (2020)
Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò
Parameters Estimation from the 21 cm signal using Variational Inference. CoRR (2020)
Petru Hlihor, Riccardo Volpi, Luigi Malagò
Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks. NLDL (2020)
Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino
Learning Unbiased Representations via Mutual Information Backpropagation. CoRR (2020)
Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. CoRR (2020)
Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
Accelerating MCMC algorithms through Bayesian Deep Networks. CoRR (2020)
Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
Natural Wake-Sleep Algorithm. CoRR (2020)
Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
Constraining the Reionization History using Bayesian Normalizing Flows. CoRR (2020)
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 (2020)
Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. CoRR (2020)
Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
Constraining the Reionization History using Bayesian Normalizing Flows. Mach. Learn. Sci. Technol. 1 (3) (2020)
Riccardo Volpi, Luigi Malagò
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks. RepL4NLP@ACL (2020)
Riccardo Volpi, Vittorio Murino
Model Vulnerability to Distributional Shifts over Image Transformation Sets. CVPR Workshops (2019)
Riccardo Volpi, Vittorio Murino
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets. ICCV (2019)
Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. CoRR (2019)
Riccardo Volpi, Vittorio Murino
Model Vulnerability to Distributional Shifts over Image Transformation Sets. CoRR (2019)
Riccardo Volpi, Luigi Malagò
Natural Alpha Embeddings. CoRR (2019)
Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
Generalizing to Unseen Domains via Adversarial Data Augmentation. NeurIPS (2018)
Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
Generalizing to Unseen Domains via Adversarial Data Augmentation. CoRR (2018)
Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CVPR (2018)
Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. CoRR (2018)
Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski, Ingrid Hotz
Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design. Informatics 4 (3) (2017)
Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino
Curriculum Dropout. ICCV (2017)
Riccardo Volpi, Mathieu Linares
BM interface. J. Comput. Chem. 38 (14) (2017)
Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CoRR (2017)
Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino
Curriculum Dropout. CoRR (2017)
Matteo Zanotto, Riccardo Volpi, Alessandro Maccione, Luca Berdondini, Diego Sona, Vittorio Murino
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines. CoRR (2017)