Riccardo Volpi

According to our database, Riccardo Volpi authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What could go wrong? Discovering and describing failure modes in computer vision.

Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi

CoRR, 2024

PANDAS: Prototype-based Novel Class Discovery and Detection.

Tyler L. Hayes, César R. de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus

CoRR, 2024

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation.

Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez

CoRR, 2024

Coreset Based Medical Image Anomaly Detection and Segmentation.

Ciprian-Mihai Ceausescu, Bogdan Alexe, Riccardo Volpi

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection.

Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Reliability in Semantic Segmentation: Are we on the Right Track?

Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation.

Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Natural Reweighted Wake-Sleep.

Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay

Neural Networks, 2022

Semantic Image Segmentation: Two Decades of Research.

Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii

Found. Trends Comput. Graph. Vis., 2022

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training.

Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Road to Online Adaptation for Semantic Image Segmentation.

Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Changing the Geometry of Representations: α-Embeddings for NLP Tasks.

Riccardo Volpi, Uddhipan Thakur, Luigi Malagò

Entropy, 2021

Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey.

Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii

CoRR, 2021

Automatic Feature Extraction for Heartbeat Anomaly Detection.

Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò

CoRR, 2021

Explainable Deep Classification Models for Domain Generalization.

Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning.

Riccardo Volpi, Diane Larlus, Grégory Rogez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Unbiased Representations via Mutual Information Backpropagation.

Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Constraining the Reionization History using Bayesian Normalizing Flows.

Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi

Mach. Learn. Sci. Technol., 2020

Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach.

Andrea Zunino, Jacopo Cavazza, Riccardo Volpi, Pietro Morerio, Andrea Cavallo, Cristina Becchio, Vittorio Murino

Int. J. Comput. Vis., 2020

Accelerating MCMC algorithms through Bayesian Deep Networks.

Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò

CoRR, 2020

Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences.

Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi

CoRR, 2020

Natural Wake-Sleep Algorithm.

Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay

CoRR, 2020

Parameters Estimation from the 21 cm signal using Variational Inference.

Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò

CoRR, 2020

Generative Pseudo-label Refinement for Unsupervised Domain Adaptation.

Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks.

Riccardo Volpi, Luigi Malagò

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks.

Petru Hlihor, Riccardo Volpi, Luigi Malagò

Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

2019

Regularization, Adaptation and Generalization of Neural Networks.

Riccardo Volpi

PhD thesis, 2019

Natural Alpha Embeddings.

Riccardo Volpi, Luigi Malagò

CoRR, 2019

Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks.

Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò

CoRR, 2019

Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets.

Riccardo Volpi, Vittorio Murino

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Model Vulnerability to Distributional Shifts over Image Transformation Sets.

Riccardo Volpi, Vittorio Murino

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds.

Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò

CoRR, 2018

Generalizing to Unseen Domains via Adversarial Data Augmentation.

Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Feature Augmentation for Unsupervised Domain Adaptation.

Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Study of the cold charge transfer state separation at the TQ1/PC₇₁BM interface.

Riccardo Volpi, Mathieu Linares

J. Comput. Chem., 2017

Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design.

Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski, Ingrid Hotz

Informatics, 2017

Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines.

Matteo Zanotto, Riccardo Volpi, Alessandro Maccione, Luca Berdondini, Diego Sona, Vittorio Murino

CoRR, 2017

Curriculum Dropout.

Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino

Proceedings of the IEEE International Conference on Computer Vision, 2017