Calderara, Simone

40 publications

ICLR 2026 Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature Angelo Porrello, Pietro Buzzega, Felix Dangel, Thomas Sommariva, Riccardo Salami, Lorenzo Bonicelli, Simone Calderara

ICLR 2026 Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models Filippo Rinaldi, Aniello Panariello, Giacomo Salici, Fengyuan Liu, Marco Ciccone, Angelo Porrello, Simone Calderara

ICLR 2025 A Second-Order Perspective on Model Compositionality and Incremental Learning Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara

NeurIPS 2025 Accurate and Efficient Low-Rank Model Merging in Core Space Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartłomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer

ICLR 2025 Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara

NeurIPS 2025 DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi, Angelo Porrello, Simone Calderara, Rita Cucchiara

WACV 2025 Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations Giacomo Capitani, Lorenzo Bonicelli, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra

ICML 2025 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 Rodolà, Simone Calderara, Angelo Porrello

ECCVW 2024 Beyond the Surface: A Comprehensive Analysis of Implicit Bias in Vision-Language Models Giacomo Capitani, Alice Lucarini, Lorenzo Bonicelli, Federico Bolelli, Simone Calderara, Loris Vezzali, Elisa Ficarra

WACV 2024 ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra

NeurIPS 2024 Is Multiple Object Tracking a Matter of Specialization? Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara

NeurIPS 2024 Saliency-Driven Experience Replay for Continual Learning Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato

NeurIPS 2024 Self-Labeling the Job Shop Scheduling Problem Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico

ECCV 2024 Semantic Residual Prompts for Continual Learning Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

ICML 2023 Input Perturbation Reduces Exposure Bias in Diffusion Models Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara

ICML 2023 Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso

ICCV 2023 TrackFlow: Multi-Object Tracking with Normalizing Flows Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara

ECCVW 2022 Consistency-Based Self-Supervised Learning for Temporal Anomaly Localization Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara

CVPRW 2022 Goal-Driven Self-Attentive Recurrent Networks for Trajectory Prediction Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan

CVPR 2022 How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara

NeurIPS 2022 On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara

ECCV 2022 Transfer Without Forgetting Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara

CVPRW 2021 Avalanche: An End-to-End Library for Continual Learning Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

ICCV 2021 MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljoša Ošep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara

CVPR 2020 Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara

CVPR 2020 Conditional Channel Gated Networks for Task-Aware Continual Learning Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi

NeurIPS 2020 Dark Experience for General Continual Learning: A Strong, Simple Baseline Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara

ECCV 2020 Robust Re-Identification by Multiple Views Knowledge Distillation Angelo Porrello, Luca Bergamini, Simone Calderara

AISTATS 2019 Classifying Signals on Irregular Domains via Convolutional Cluster Pooling Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara

CVPR 2019 Latent Space Autoregression for Novelty Detection Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara

ECCVW 2018 End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara

ECCV 2018 Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World Matteo Fabbri, Fabio Lanzi, Simone Calderara, Andrea Palazzi, Roberto Vezzani, Rita Cucchiara

CVPRW 2018 Unsupervised Vehicle Re-Identification Using Triplet Networks Pedro A. Marín-Reyes, Andrea Palazzi, Luca Bergamini, Simone Calderara, Javier Lorenzo-Navarro, Rita Cucchiara

CVPRW 2016 DR(eye)VE: A Dataset for Attention-Based Tasks with Applications to Autonomous and Assisted Driving Stefano Alletto, Andrea Palazzi, Francesco Solera, Simone Calderara, Rita Cucchiara

ICCV 2015 Learning to Divide and Conquer for Online Multi-Target Tracking Francesco Solera, Simone Calderara, Rita Cucchiara

CVPRW 2015 Learning to Identify Leaders in Crowd Francesco Solera, Simone Calderara, Rita Cucchiara

CVPRW 2014 From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views Stefano Alletto, Giuseppe Serra, Simone Calderara, Francesco Solera, Rita Cucchiara

CVPRW 2012 Understanding Dyadic Interactions Applying Proxemic Theory on Videosurveillance Trajectories Simone Calderara, Rita Cucchiara

CVPRW 2010 People Trajectory Mining with Statistical Pattern Recognition Simone Calderara, Rita Cucchiara

CVPR 2008 Using Circular Statistics for Trajectory Shape Analysis Andrea Prati, Simone Calderara, Rita Cucchiara