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Angelo Porrello
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2020 – today
- 2024
- [j5]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): 1412-1421 (2024) - [c19]Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. WACV 2024: 4858-4867 - [i28]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 abs/2401.03191 (2024) - [i27]Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico:
Self-Labeling the Job Shop Scheduling Problem. CoRR abs/2401.11849 (2024) - [i26]Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Semantic Residual Prompts for Continual Learning. CoRR abs/2403.06870 (2024) - [i25]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 abs/2403.20086 (2024) - [i24]Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara:
A Second-Order perspective on Compositionality and Incremental Learning. CoRR abs/2405.16350 (2024) - [i23]Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara:
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes. CoRR abs/2405.20743 (2024) - [i22]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 abs/2407.01397 (2024) - [i21]Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. CoRR abs/2407.14249 (2024) - [i20]Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. CoRR abs/2407.15793 (2024) - [i19]Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara:
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. CoRR abs/2408.14284 (2024) - 2023
- [j4]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): 5497-5512 (2023) - [j3]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: 1-12 (2023) - [c18]Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara:
TrackFlow: Multi-Object Tracking with Normalizing Flows. ICCV 2023: 9497-9509 - [c17]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: 1-12 - [c16]Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Input Perturbation Reduces Exposure Bias in Diffusion Models. ICML 2023: 26245-26265 - [c15]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: 7-12 - [c14]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: 489-494 - [c13]Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. MICCAI (1) 2023: 248-258 - [i18]Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Input Perturbation Reduces Exposure Bias in Diffusion Models. CoRR abs/2301.11706 (2023) - [i17]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 abs/2305.03648 (2023) - [i16]Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara:
TrackFlow: Multi-Object Tracking with Normalizing Flows. CoRR abs/2308.11513 (2023) - 2022
- [j2]Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Continual semi-supervised learning through contrastive interpolation consistency. Pattern Recognit. Lett. 162: 9-14 (2022) - [c12]Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CVPR 2022: 6543-6552 - [c11]Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. ECCV Workshops (5) 2022: 338-349 - [c10]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer Without Forgetting. ECCV (23) 2022: 692-709 - [c9]Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. NeurIPS 2022 - [i15]Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning into the eXtended DER-verse. CoRR abs/2201.00766 (2022) - [i14]Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CoRR abs/2203.04781 (2022) - [i13]Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara:
Transfer without Forgetting. CoRR abs/2206.00388 (2022) - [i12]Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Consistency-based Self-supervised Learning for Temporal Anomaly Localization. CoRR abs/2208.05251 (2022) - [i11]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 abs/2209.05251 (2022) - [i10]Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara:
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. CoRR abs/2210.06443 (2022) - 2021
- [i9]Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Weakly Supervised Continual Learning. CoRR abs/2108.06552 (2021) - 2020
- [j1]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): 3064 (2020) - [c8]Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. ECCV (10) 2020: 93-110 - [c7]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara:
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. ICPR 2020: 2180-2187 - [c6]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: 3034-3041 - [c5]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. NeurIPS 2020 - [i8]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. CoRR abs/2004.07211 (2020) - [i7]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 abs/2006.12119 (2020) - [i6]Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. CoRR abs/2007.04174 (2020) - [i5]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara:
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. CoRR abs/2010.05595 (2020)
2010 – 2019
- 2019
- [c4]Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara:
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. AISTATS 2019: 1388-1397 - [c3]Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Latent Space Autoregression for Novelty Detection. CVPR 2019: 481-490 - [c2]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: 159-166 - [i4]Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara:
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. CoRR abs/1902.04850 (2019) - [i3]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 abs/1902.04886 (2019) - [i2]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 abs/1911.10024 (2019) - 2018
- [c1]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: 184-191 - [i1]Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
AND: Autoregressive Novelty Detectors. CoRR abs/1807.01653 (2018)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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