Angelo Porrello
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
11
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICIAP | How to Train Your Metamorphic Deep Neural Network. | Thomas Sommariva, Simone Calderara, Angelo Porrello |
| 2025 | ICLR | A Second-Order Perspective on Model Compositionality and Incremental Learning. | Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara |
| 2025 | ICML | Update Your Transformer to the Latest Release: Re-Basin of Task Vectors. | Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodol, Simone Calderara, Angelo Porrello |
| 2025 | MICCAI | U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation. | Luca Lumetti, Giacomo Capitani, Elisa Ficarra, Simone Calderara, Costantino Grana, Angelo Porrello, Federico Bolelli |
| 2025 | WACV | Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations. | Giacomo Capitani, Lorenzo Bonicelli, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra |
| 2024 | BMVC | CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. | Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara |
| 2024 | BMVC | May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. | Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara |
| 2024 | ECCV | Semantic Residual Prompts for Continual Learning. | Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara |
| 2024 | ICPR | Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes. | Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara |
| 2024 | ICPR | Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning. | Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara |
| 2024 | WACV | ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. | Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra |
| 2023 | ICCV | TrackFlow: Multi-Object Tracking with Normalizing Flows. | Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara |
| 2023 | ICIAP | Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. | Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra |
| 2023 | ICML | Input Perturbation Reduces Exposure Bias in Diffusion Models. | Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara |
| 2023 | MICCAI | DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. | Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra |
| 2022 | CVPR | How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. | Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara |
| 2022 | ECCV | Transfer Without Forgetting. | Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara |
| 2022 | ECCV | Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. | Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara |
| 2020 | ECCV | Robust Re-Identification by Multiple Views Knowledge Distillation. | Angelo Porrello, Luca Bergamini, Simone Calderara |
| 2020 | ICPR | Rethinking Experience Replay: a Bag of Tricks for Continual Learning. | Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara |
| 2020 | ICPR | The color out of space: learning self-supervised representations for Earth Observation imagery. | Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara |
| 2019 | AISTATS | Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. | Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara |
| 2019 | CVPR | Latent Space Autoregression for Novelty Detection. | Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara |