Riccardo Volpi

59 papers A* 9A 1C 1Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring. CoRR Luciano Bozzi, Christian Celidonio, Umberto Nuzzi, Massimo Biagini, Stefano Cherubin, Asbjørn Djupdal, Tor A. Haugdahl, Andrea Aliverti, Alessandra Angelucci, Giovanni Agosta, Gerardo Pelosi, Paolo Belluco, Samuele Polistina, Riccardo Volpi, Luigi Malagò, Michael Schneider, Florian Wieczorek, Xabier Eguiluz
2025	J	`jnl`	Test-time Vocabulary Adaptation for Language-driven Object Detection. CoRR Mingxuan Liu, Tyler L. Hayes, Massimiliano Mancini, Elisa Ricci, Riccardo Volpi, Gabriela Csurka
2025	C	`conf`	The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring. DSD Luciano Bozzi, Christian Celidonio, Umberto Nuzzi, Massimo Biagini, Stefano Cherubin, Asbjørn Djupdal, Tor A. Haugdahl, Andrea Aliverti, Alessandra Angelucci, Giovanni Agosta, Gerardo Pelosi, Paolo Belluco, Samuele Polistina, Riccardo Volpi, Luigi Malagò, Michael Schneider, Florian Wieczorek, Xabier Eguiluz
2024	—	`conf`	Coreset Based Medical Image Anomaly Detection and Segmentation. VISIGRAPP (4): VISAPP Ciprian-Mihai Ceausescu, Bogdan Alexe, Riccardo Volpi
2024	—	`conf`	PANDAS: Prototype-based Novel Class Discovery and Detection. CoLLAs Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
2024	J	`jnl`	PANDAS: Prototype-based Novel Class Discovery and Detection. CoRR Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
2024	—	`conf`	Placing Objects in Context via Inpainting for Out-of-Distribution Segmentation. ECCV (45) Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez
2024	J	`jnl`	Placing Objects in Context via Inpainting for Out-of-distribution Segmentation. CoRR Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez
2024	A*	`conf`	SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection. CVPR Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi
2024	J	`jnl`	SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection. CoRR Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi
2024	—	`conf`	What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision. ECCV Workshops (21) Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi
2024	J	`jnl`	What could go wrong? Discovering and describing failure modes in computer vision. CoRR Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi
2023	—	`conf`	RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoLLAs Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
2023	J	`jnl`	RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoRR Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
2023	J	`jnl`	Reliability in Semantic Segmentation: Are We on the Right Track? CoRR Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez
2023	A*	`conf`	Reliability in Semantic Segmentation: Are we on the Right Track? CVPR Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez
2023	J	`jnl`	Semantic Image Segmentation: Two Decades of Research. CoRR Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii
2022	A*	`conf`	Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. NeurIPS Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
2022	J	`jnl`	Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. CoRR Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania
2022	J	`jnl`	Natural Reweighted Wake-Sleep. Neural Networks Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
2022	A*	`conf`	On the Road to Online Adaptation for Semantic Image Segmentation. CVPR Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
2022	J	`jnl`	On the Road to Online Adaptation for Semantic Image Segmentation. CoRR Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
2022	J	`jnl`	Semantic Image Segmentation: Two Decades of Research. Found. Trends Comput. Graph. Vis. Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii
2021	J	`jnl`	Automatic Feature Extraction for Heartbeat Anomaly Detection. CoRR Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò
2021	J	`jnl`	Changing the Geometry of Representations: α-Embeddings for NLP Tasks. Entropy Riccardo Volpi, Uddhipan Thakur, Luigi Malagò
2021	A*	`conf`	Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. CVPR Riccardo Volpi, Diane Larlus, Grégory Rogez
2021	—	`conf`	Explainable Deep Classification Models for Domain Generalization. CVPR Workshops Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
2021	—	`conf`	Learning Unbiased Representations via Mutual Information Backpropagation. CVPR Workshops Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino
2021	J	`jnl`	Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey. CoRR Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii
2020	J	`jnl`	Accelerating MCMC algorithms through Bayesian Deep Networks. CoRR Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
2020	J	`jnl`	Constraining the Reionization History using Bayesian Normalizing Flows. CoRR Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2020	J	`jnl`	Constraining the Reionization History using Bayesian Normalizing Flows. Mach. Learn. Sci. Technol. Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2020	J	`jnl`	Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CoRR Riccardo Volpi, Diane Larlus, Grégory Rogez
2020	—	`conf`	Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks. RepL4NLP@ACL Riccardo Volpi, Luigi Malagò
2020	—	`conf`	Evaluating the Robustness of Defense Mechanisms based on AutoEncoder Reconstructions against Carlini-Wagner Adversarial Attacks. NLDL Petru Hlihor, Riccardo Volpi, Luigi Malagò
2020	J	`jnl`	Explainable Deep Classification Models for Domain Generalization. CoRR Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko
2020	A	`conf`	Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. WACV Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino
2020	J	`jnl`	Generative Pseudo-label Refinement for Unsupervised Domain Adaptation. CoRR Pietro Morerio, Riccardo Volpi, Ruggero Ragonesi, Vittorio Murino
2020	J	`jnl`	Learning Unbiased Representations via Mutual Information Backpropagation. CoRR Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino
2020	J	`jnl`	Natural Wake-Sleep Algorithm. CoRR Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay
2020	J	`jnl`	Parameters Estimation from the 21 cm signal using Variational Inference. CoRR Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò
2020	J	`jnl`	Predicting Intentions from Motion: The Subject-Adversarial Adaptation Approach. Int. J. Comput. Vis. Andrea Zunino, Jacopo Cavazza, Riccardo Volpi, Pietro Morerio, Andrea Cavallo, Cristina Becchio, Vittorio Murino
2020	J	`jnl`	Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences. CoRR Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi
2019	A*	`conf`	Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets. ICCV Riccardo Volpi, Vittorio Murino
2019	—	`conf`	Model Vulnerability to Distributional Shifts over Image Transformation Sets. CVPR Workshops Riccardo Volpi, Vittorio Murino
2019	J	`jnl`	Model Vulnerability to Distributional Shifts over Image Transformation Sets. CoRR Riccardo Volpi, Vittorio Murino
2019	J	`jnl`	Natural Alpha Embeddings. CoRR Riccardo Volpi, Luigi Malagò
2019	J	`jnl`	Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks. CoRR Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò
2019	—	`—`	Regularization, Adaptation and Generalization of Neural Networks. Riccardo Volpi
2018	A*	`conf`	Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CVPR Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino
2018	A*	`conf`	Generalizing to Unseen Domains via Adversarial Data Augmentation. NeurIPS Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
2018	J	`jnl`	Generalizing to Unseen Domains via Adversarial Data Augmentation. CoRR Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
2018	J	`jnl`	Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. CoRR Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò
2017	J	`jnl`	Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CoRR Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino
2017	A*	`conf`	Curriculum Dropout. ICCV Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino
2017	J	`jnl`	Curriculum Dropout. CoRR Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, René Vidal, Vittorio Murino
2017	J	`jnl`	Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines. CoRR Matteo Zanotto, Riccardo Volpi, Alessandro Maccione, Luca Berdondini, Diego Sona, Vittorio Murino
2017	J	`jnl`	Study of the cold charge transfer state separation at the TQ1/PC J. Comput. Chem. Riccardo Volpi, Mathieu Linares
2017	J	`jnl`	Visual Analysis of Stochastic Trajectory Ensembles in Organic Solar Cell Design. Informatics Sathish Kottravel, Riccardo Volpi, Mathieu Linares, Timo Ropinski, Ingrid Hotz