Angelo Porrello

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 51

Top Topics

Incremental Learning

Global Features

Diffusion Models

Job Shop Scheduling Problem

Top Venues

Publications

Gianpaolo Bontempo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. IEEE Trans. Medical Imaging 43 (4) (2024)
Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning. CoRR (2024)
Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes. CoRR (2024)
Aniello Panariello, Gianluca Mancusi, Fedy Haj Ali, Angelo Porrello, Simone Calderara, Rita Cucchiara
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation. CoRR (2024)
Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra
ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. WACV (2024)
Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara
A Second-Order perspective on Compositionality and Incremental Learning. CoRR (2024)
Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico
Self-Labeling the Job Shop Scheduling Problem. CoRR (2024)
Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. CoRR (2024)
Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato
Selective Attention-based Modulation for Continual Learning. CoRR (2024)
Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. CoRR (2024)
Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
Semantic Residual Prompts for Continual Learning. CoRR (2024)
Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara
Class-Incremental Continual Learning Into the eXtended DER-Verse. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. ICIAP (2) (2023)
Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara
TrackFlow: Multi-Object Tracking with Normalizing Flows. ICCV (2023)
Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara
TrackFlow: Multi-Object Tracking with Normalizing Flows. CoRR (2023)
Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
Input Perturbation Reduces Exposure Bias in Diffusion Models. ICML (2023)
Rita Cucchiara, Lorenzo Baraldi, Simone Calderara, Marcella Cornia, Matteo Fabbri, Costantino Grana, Angelo Porrello, Roberto Vezzani
Where Research meets Industry: New Challenges and Opportunities at AImageLab. Ital-IA (2023)
Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. MICCAI (1) (2023)
Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara
Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Marco Bergianti, Nicola Cioffo, Francesco Del Buono, Matteo Paganelli, Angelo Porrello
Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies. Ital-IA (2023)
Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
Input Perturbation Reduces Exposure Bias in Diffusion Models. CoRR (2023)
Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. CoRR (2023)
Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara
Transfer without Forgetting. CoRR (2022)
Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CoRR (2022)
Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. CoRR (2022)
Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara
Transfer Without Forgetting. ECCV (23) (2022)
Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
Continual semi-supervised learning through contrastive interpolation consistency. Pattern Recognit. Lett. 162 (2022)
Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. NeurIPS (2022)
Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara
Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. ECCV Workshops (5) (2022)
Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara
Class-Incremental Continual Learning into the eXtended DER-verse. CoRR (2022)
Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara
Consistency-based Self-supervised Learning for Temporal Anomaly Localization. CoRR (2022)
Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. CoRR (2022)
Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CVPR (2022)
Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
Weakly Supervised Continual Learning. CoRR (2021)
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara
Dark Experience for General Continual Learning: a Strong, Simple Baseline. CoRR (2020)
Luca Candeloro, Carla Ippoliti, Federica Iapaolo, Federica Monaco, Daniela Morelli, Roberto Cuccu, Pietro Fronte, Simone Calderara, Stefano Vincenzi, Angelo Porrello, Nicola D'Alterio, Paolo Calistri, Annamaria Conte
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model. Remote. Sens. 12 (18) (2020)
Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara
The color out of space: learning self-supervised representations for Earth Observation imagery. CoRR (2020)
Angelo Porrello, Luca Bergamini, Simone Calderara
Robust Re-Identification by Multiple Views Knowledge Distillation. ECCV (10) (2020)
Angelo Porrello, Luca Bergamini, Simone Calderara
Robust Re-Identification by Multiple Views Knowledge Distillation. CoRR (2020)
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara
Dark Experience for General Continual Learning: a Strong, Simple Baseline. NeurIPS (2020)
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. CoRR (2020)
Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara
The color out of space: learning self-supervised representations for Earth Observation imagery. ICPR (2020)
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. ICPR (2020)
Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. AISTATS (2019)
Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara
Multi-views Embedding for Cattle Re-identification. CoRR (2019)
Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. CoRR (2019)
Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona, Simone Calderara
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs. CoRR (2019)
Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
Latent Space Autoregression for Novelty Detection. CVPR (2019)
Angelo Porrello, Stefano Vincenzi, Pietro Buzzega, Simone Calderara, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona
Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs. SITIS (2019)
Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
AND: Autoregressive Novelty Detectors. CoRR (2018)
Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara
Multi-views Embedding for Cattle Re-identification. SITIS (2018)