Simone Calderara

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 130

Top Venues

CoRR

ICPR

IEEE Trans. Pattern Anal. Mach. Intell.

CVPR Workshops

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)
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani, Simone Calderara
Reducing Bias in Federated Class-Incremental Learning with Hierarchical Generative Prototypes. CoRR (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)
Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara
Latent spectral regularization for continual learning. Pattern Recognit. Lett. 184 (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)
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. CoRR (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)
Monica Millunzi, Lorenzo Bonicelli, Alberto Zurli, Alessio Salman, Jacopo Credi, Simone Calderara
Novel continual learning techniques on noisy label datasets. Ital-IA (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)
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. ICML (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)
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)
Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara
CaSpeR: Latent Spectral Regularization for 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)
Andrea Corsini, Simone Calderara, Mauro Dell'Amico
Learning the Quality of Machine Permutations in Job Shop Scheduling. 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)
Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara
Effects of Auxiliary Knowledge on Continual Learning. ICPR (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)
Andrea Corsini, Simone Calderara, Mauro Dell'Amico
Learning the Quality of Machine Permutations in Job Shop Scheduling. IEEE Access 10 (2022)
Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Concetto Spampinato
Effects of Auxiliary Knowledge on Continual Learning. CoRR (2022)
Gianluca Mancusi, Matteo Fabbri, Sara Egidi, Mattia Verasani, Paolo Scarabelli, Simone Calderara, Rita Cucchiara
First Steps Towards 3D Pedestrian Detection and Tracking from Single Image. ICIAP (2) (2022)
Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini
Catastrophic Forgetting in Continual Concept Bottleneck Models. ICIAP Workshops (2022)
Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CoRR (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)
Mang Ning, Xiaoliang Ma, Yao Lu, Simone Calderara, Rita Cucchiara
SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV. ICIAP (3) (2022)
Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini
Generalising via Meta-examples for Continual Learning in the Wild. LOD (1) (2022)
Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara
Consistency-based Self-supervised Learning for Temporal Anomaly Localization. CoRR (2022)
Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara
Warp and Learn: Novel Views Generation for Vehicles and Other Objects. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (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)
Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CVPR Workshops (2022)
Luca Bergamini, Stefano Pini, Alessandro Simoni, Roberto Vezzani, Simone Calderara, Rick B. D'Eath, Robert B. Fisher
Extracting Accurate Long-term Behavior Changes from a Large Pig Dataset. VISIGRAPP (5: VISAPP) (2021)
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 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
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops (2021)
Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara
RMS-Net: Regression and Masking for Soccer Event Spotting. CoRR (2021)
Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction. Comput. Vis. Image Underst. 210 (2021)
Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? CoRR (2021)
Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? ICCV (2021)
Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
Weakly Supervised Continual Learning. CoRR (2021)
Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara
Video action detection by learning graph-based spatio-temporal interactions. Comput. Vis. Image Underst. 206 (2021)
Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini
Generalising via Meta-Examples for Continual Learning in the Wild. CoRR (2021)
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 Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
Avalanche: an End-to-End Library for Continual Learning. CoRR (2021)
Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
Conditional Channel Gated Networks for Task-Aware Continual Learning. CoRR (2020)
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara
Dark Experience for General Continual Learning: a Strong, Simple Baseline. CoRR (2020)
Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini
Few-Shot Unsupervised Continual Learning through Meta-Examples. CoRR (2020)
Luca Bergamini, Mario Sposato, Marcello Pellicciari, Margherita Peruzzini, Simone Calderara, Juliana Schmidt
Deep learning-based method for vision-guided robotic grasping of unknown objects. Adv. Eng. Informatics 44 (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)
Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara
Future Urban Scenes Generation Through Vehicles Synthesis. CoRR (2020)
Guido Borghi, Matteo Fabbri, Roberto Vezzani, Simone Calderara, Rita Cucchiara
Face-from-Depth for Head Pose Estimation on Depth Images. IEEE Trans. Pattern Anal. Mach. Intell. 42 (3) (2020)
Riccardo Gasparini, Andrea D'Eusanio, Guido Borghi, Stefano Pini, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara
Anomaly Detection, Localization and Classification for Railway Inspection. ICPR (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)
Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara
Future Urban Scenes Generation Through Vehicles Synthesis. ICPR (2020)
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. CoRR (2020)
Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini, Simone Calderara, Lorenzo Baraldi, Rita Cucchiara
Inter-Homines: Distance-Based Risk Estimation for Human Safety. 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)
Alessio Monti, Alessia Bertugli, Simone Calderara, Rita Cucchiara
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. CoRR (2020)
Alessio Monti, Alessia Bertugli, Simone Calderara, Rita Cucchiara
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. ICPR (2020)
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
Rethinking Experience Replay: a Bag of Tricks for Continual Learning. ICPR (2020)
Riccardo Gasparini, Stefano Pini, Guido Borghi, Giuseppe Scaglione, Simone Calderara, Eugenio Fedeli, Rita Cucchiara
Anomaly Detection for Vision-Based Railway Inspection. EDCC Workshops (2020)
Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
Conditional Channel Gated Networks for Task-Aware Continual Learning. CVPR (2020)
Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. CVPR (2020)
Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. CoRR (2020)
Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction. CoRR (2020)
Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara
RMS-Net: Regression and Masking for Soccer Event Spotting. ICPR (2020)
Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. AISTATS (2019)
Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara
STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection. CoRR (2019)
Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi, Simone Calderara
A Deep Learning based approach to VM behavior identification in cloud systems. CoRR (2019)
Federico Fulgeri, Matteo Fabbri, Stefano Alletto, Simone Calderara, Rita Cucchiara
Can adversarial networks hallucinate occluded people with a plausible aspect? Comput. Vis. Image Underst. 182 (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)
Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi, Simone Calderara
A Deep-learning-based approach to VM behavior Identification in Cloud Systems. CLOSER (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)
Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara
Semi-parametric Object Synthesis. CoRR (2019)
Stefano Alletto, Davide Abati, Simone Calderara, Rita Cucchiara, Luca Rigazio
Self-Supervised Optical Flow Estimation by Projective Bootstrap. IEEE Trans. Intell. Transp. Syst. 20 (9) (2019)
Andrea Palazzi, Davide Abati, Simone Calderara, Francesco Solera, Rita Cucchiara
Predicting the Driver's Focus of Attention: The DR(eye)VE Project. IEEE Trans. Pattern Anal. Mach. Intell. 41 (7) (2019)
Luca Bergamini, Abigail Rose Trachtman, Andrea Palazzi, Ercole Del Negro, Andrea Capobianco Dondona, Giuseppe Marruchella, Simone Calderara
Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs. ICIAP Workshops (2019)
Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
Latent Space Autoregression for Novelty Detection. CVPR (2019)
Federico Fulgeri, Matteo Fabbri, Stefano Alletto, Simone Calderara, Rita Cucchiara
Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect? CoRR (2019)
Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara
Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. CoRR (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Simone Calderara