Simone Calderara
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
17
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network. | Matteo Gianferrari, Omayma Moussadek, Riccardo Salami, Cosimo Fiorini, Lorenzo Tartarini, Daniela Gandolfi, Simone Calderara |
| 2025 | ICIAP | Intrinsic Training Signals for Federated Learning Aggregation. | Cosimo Fiorini, Matteo Mosconi, Pietro Buzzega, Riccardo Salami, Simone Calderara |
| 2025 | ICIAP | DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning. | Omayma Moussadek, Riccardo Salami, Simone Calderara |
| 2025 | ICIAP | Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity. | Riccardo Santi, Riccardo Salami, Simone Calderara |
| 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 | ICLR | Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning. | Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara |
| 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 | 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 |
| 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 | Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. | Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso |
| 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 | Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. | Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan |
| 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 |
| 2022 | ICIAP | First Steps Towards 3D Pedestrian Detection and Tracking from Single Image. | Gianluca Mancusi, Matteo Fabbri, Sara Egidi, Mattia Verasani, Paolo Scarabelli, Simone Calderara, Rita Cucchiara |
| 2022 | ICIAP | Catastrophic Forgetting in Continual Concept Bottleneck Models. | Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini |
| 2022 | ICIAP | SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV. | Mang Ning, Xiaoliang Ma, Yao Lu, Simone Calderara, Rita Cucchiara |
| 2022 | ICPR | Effects of Auxiliary Knowledge on Continual Learning. | Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara |
| 2021 | CVPR | 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 |
| 2021 | ICCV | MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? | Matteo Fabbri, Guillem Bras, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taix, Rita Cucchiara |
| 2020 | CVPR | Conditional Channel Gated Networks for Task-Aware Continual Learning. | Davide Abati, Jakub M. Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi |
| 2020 | CVPR | Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. | Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara |
| 2020 | ECCV | Robust Re-Identification by Multiple Views Knowledge Distillation. | Angelo Porrello, Luca Bergamini, Simone Calderara |
| 2020 | EDCC | Anomaly Detection for Vision-Based Railway Inspection. | Riccardo Gasparini, Stefano Pini, Guido Borghi, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara |
| 2020 | ICPR | Rethinking Experience Replay: a Bag of Tricks for Continual Learning. | Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara |
| 2020 | ICPR | Anomaly Detection, Localization and Classification for Railway Inspection. | Riccardo Gasparini, Andrea D'Eusanio, Guido Borghi, Stefano Pini, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara |
| 2020 | ICPR | DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. | Alessio Monti, Alessia Bertugli, Simone Calderara, Rita Cucchiara |
| 2020 | ICPR | Future Urban Scenes Generation Through Vehicles Synthesis. | Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara |
| 2020 | ICPR | RMS-Net: Regression and Masking for Soccer Event Spotting. | Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara |
| 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 | CLOSER | A Deep-learning-based approach to VM behavior Identification in Cloud Systems. | Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi, Simone Calderara |
| 2019 | CVPR | Latent Space Autoregression for Novelty Detection. | Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara |
| 2019 | ICIAP | Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs. | Luca Bergamini, Abigail Rose Trachtman, Andrea Palazzi, Ercole Del Negro, Andrea Capobianco Dondona, Giuseppe Marruchella, Simone Calderara |
| 2018 | CVPR | Unsupervised Vehicle Re-Identification Using Triplet Networks. | Pedro A. Marn-Reyes, Andrea Palazzi, Luca Bergamini, Simone Calderara, Javier Lorenzo-Navarro, Rita Cucchiara |
| 2018 | ECCV | 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 |
| 2018 | ECCV | End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization. | Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara |
| 2018 | ICPR | Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. | Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara |
| 2017 | AVSS | Generative adversarial models for people attribute recognition in surveillance. | Matteo Fabbri, Simone Calderara, Rita Cucchiara |
| 2017 | ICIAP | Signal Processing and Machine Learning for Diplegia Classification. | Luca Bergamini, Simone Calderara, Nicola Bicocchi, Alberto Ferrari, Giorgio Matteo Vitetta |
| 2017 | ICIAP | Learning to Map Vehicles into Bird's Eye View. | Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara |
| 2016 | CVPR | 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 |
| 2015 | AVSS | Towards the evaluation of reproducible robustness in tracking-by-detection. | Francesco Solera, Simone Calderara, Rita Cucchiara |
| 2015 | CVPR | Learning to identify leaders in crowd. | Francesco Solera, Simone Calderara, Rita Cucchiara |
| 2015 | ICCV | Learning to Divide and Conquer for Online Multi-target Tracking. | Francesco Solera, Simone Calderara, Rita Cucchiara |
| 2014 | CVPR | From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views. | Stefano Alletto, Giuseppe Serra, Simone Calderara, Francesco Solera, Rita Cucchiara |
| 2014 | ICPR | Head Pose Estimation in First-Person Camera Views. | Stefano Alletto, Giuseppe Serra, Simone Calderara, Rita Cucchiara |
| 2014 | ICPR | Kernelized Structural Classification for 3D Dogs Body Parts Detection. | Simone Pistocchi, Simone Calderara, Shanis Barnard, Nicola Ferri, Rita Cucchiara |
| 2013 | AVSS | Structured learning for detection of social groups in crowd. | Francesco Solera, Simone Calderara, Rita Cucchiara |
| 2013 | ICIAP | Social Groups Detection in Crowd through Shape-Augmented Structured Learning. | Francesco Solera, Simone Calderara |
| 2012 | CVPR | Understanding dyadic interactions applying proxemic theory on videosurveillance trajectories. | Simone Calderara, Rita Cucchiara |
| 2012 | ICPR | Learning non-target items for interesting clothes segmentation in fashion images. | Costantino Grana, Simone Calderara, Daniele Borghesani, Rita Cucchiara |
| 2011 | ACIVS | Feature Space Warping Relevance Feedback with Transductive Learning. | Daniele Borghesani, Dalia Coppi, Costantino Grana, Simone Calderara, Rita Cucchiara |
| 2011 | AVSS | Appearance tracking by transduction in surveillance scenarios. | Dalia Coppi, Simone Calderara, Rita Cucchiara |
| 2010 | CVPR | People trajectory mining with statistical pattern recognition. | Simone Calderara, Rita Cucchiara |
| 2010 | ICPR | Alignment-Based Similarity of People Trajectories Using Semi-directional Statistics. | Simone Calderara, Andrea Prati, Rita Cucchiara |
| 2009 | AVSS | Learning People Trajectories Using Semi-directional Statistics. | Simone Calderara, Andrea Prati, Rita Cucchiara |
| 2008 | AVSS | Action Signature: A Novel Holistic Representation for Action Recognition. | Simone Calderara, Rita Cucchiara, Andrea Prati |
| 2008 | CVPR | Using circular statistics for trajectory shape analysis. | Andrea Prati, Simone Calderara, Rita Cucchiara |
| 2008 | ICIP | Reliable smoke detection in the domains of image energy and color. | Paolo Piccinini, Simone Calderara, Rita Cucchiara |
| 2008 | ICVS | Smoke Detection in Video Surveillance: A MoG Model in the Wavelet Domain. | Simone Calderara, Paolo Piccinini, Rita Cucchiara |
| 2007 | AVSS | Detection of abnormal behaviors using a mixture of Von Mises distributions. | Simone Calderara, Rita Cucchiara, Andrea Prati |
| 2007 | ICIAP | A Dynamic Programming Technique for Classifying Trajectories. | Simone Calderara, Rita Cucchiara, Andrea Prati |
| 2006 | AVSS | Group Detection at Camera Handoff for Collecting People Appearance in Multi-camera Systems. | Simone Calderara, Rita Cucchiara, Andrea Prati |
| 2005 | AVSS | Entry edge of field of view for multi-camera tracking in distributed video surveillance. | Simone Calderara, Roberto Vezzani, Andrea Prati, Rita Cucchiara |
| 2005 | ICIAP | Consistent Labeling for Multi-camera Object Tracking. | Simone Calderara, Andrea Prati, Roberto Vezzani, Rita Cucchiara |