Monocular per-object distance estimation with Masked Object Modeling. - Panariello, Aniello; Mancusi, Gianluca; Ali, Fedy Haj; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (Comput. Vis. Image Underst., 2025)

Latent spectral regularization for continual learning. - Frascaroli, Emanuele; Benaglia, Riccardo; Boschini, Matteo; Moschella, Luca; Fiorini, Cosimo; Rodolà, Emanuele; Calderara, Simone (Pattern Recognit. Lett., 2024)

A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. - Bontempo, Gianpaolo; Bolelli, Federico; Porrello, Angelo; Calderara, Simone; Ficarra, Elisa (IEEE Trans. Medical Imaging, 2024)

Semantic Residual Prompts for Continual Learning. - Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Sangineto, Enver; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone (2024)

Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning. - Mosconi, Matteo; Sorokin, Andriy; Panariello, Aniello; Porrello, Angelo; Bonato, Jacopo; Cotogni, Marco; Sabetta, Luigi; Calderara, Simone; Cucchiara, Rita (2024)

Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes. - Benaglia, Riccardo; Porrello, Angelo; Buzzega, Pietro; Calderara, Simone; Cucchiara, Rita (2024)

An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. - Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone (2024)

Saliency-driven Experience Replay for Continual Learning. - Bellitto, Giovanni; Salanitri, Federica Proietto; Pennisi, Matteo; Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone; Palazzo, Simone; Spampinato, Concetto (2024)

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

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

ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. - Capitani, Giacomo; Bolelli, Federico; Porrello, Angelo; Calderara, Simone; Ficarra, Elisa (2024)

DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation. - Panariello, Aniello; Mancusi, Gianluca; Ali, Fedy Haj; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (CoRR, 2024)

Self-Labeling the Job Shop Scheduling Problem. - Corsini, Andrea; Porrello, Angelo; Calderara, Simone; Dell'Amico, Mauro (CoRR, 2024)

Semantic Residual Prompts for Continual Learning. - Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Sangineto, Enver; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone (CoRR, 2024)

Selective Attention-based Modulation for Continual Learning. - Bellitto, Giovanni; Salanitri, Federica Proietto; Pennisi, Matteo; Boschini, Matteo; Porrello, Angelo; Calderara, Simone; Palazzo, Simone; Spampinato, Concetto (CoRR, 2024)

A Second-Order perspective on Compositionality and Incremental Learning. - Porrello, Angelo; Bonicelli, Lorenzo; Buzzega, Pietro; Millunzi, Monica; Calderara, Simone; Cucchiara, Rita (CoRR, 2024)

Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes. - Benaglia, Riccardo; Porrello, Angelo; Buzzega, Pietro; Calderara, Simone; Cucchiara, Rita (CoRR, 2024)

Reducing Bias in Federated Class-Incremental Learning with Hierarchical Generative Prototypes. - Salami, Riccardo; Buzzega, Pietro; Mosconi, Matteo; Verasani, Mattia; Calderara, Simone (CoRR, 2024)

Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning. - Mosconi, Matteo; Sorokin, Andriy; Panariello, Aniello; Porrello, Angelo; Bonato, Jacopo; Cotogni, Marco; Sabetta, Luigi; Calderara, Simone; Cucchiara, Rita (CoRR, 2024)

An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. - Menabue, Martin; Frascaroli, Emanuele; Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone (CoRR, 2024)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. - Frascaroli, Emanuele; Panariello, Aniello; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone (CoRR, 2024)

May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. - Millunzi, Monica; Bonicelli, Lorenzo; Porrello, Angelo; Credi, Jacopo; Kolm, Petter N.; Calderara, Simone (CoRR, 2024)

Closed-form merging of parameter-efficient modules for Federated Continual Learning. - Salami, Riccardo; Buzzega, Pietro; Mosconi, Matteo; Bonato, Jacopo; Sabetta, Luigi; Calderara, Simone (CoRR, 2024)

Is Multiple Object Tracking a Matter of Specialization? - Mancusi, Gianluca; Bernardi, Mattia; Panariello, Aniello; Porrello, Angelo; Cucchiara, Rita; Calderara, Simone (CoRR, 2024)

Class-Incremental Continual Learning Into the eXtended DER-Verse. - Boschini, Matteo; Bonicelli, Lorenzo; Buzzega, Pietro; Porrello, Angelo; Calderara, Simone (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. - Bonicelli, Lorenzo; Porrello, Angelo; Vincenzi, Stefano; Ippoliti, Carla; Iapaolo, Federica; Conte, Annamaria; Calderara, Simone (IEEE Trans. Geosci. Remote. Sens., 2023)

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

Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. - Bontempo, Gianpaolo; Lumetti, Luca; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa (2023)

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

Input Perturbation Reduces Exposure Bias in Diffusion Models. - Ning, Mang; Sangineto, Enver; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (2023)

Where Research meets Industry: New Challenges and Opportunities at AImageLab. - Cucchiara, Rita; Baraldi, Lorenzo; Calderara, Simone; Cornia, Marcella; Fabbri, Matteo; Grana, Costantino; Porrello, Angelo; Vezzani, Roberto (2023)

Novel continual learning techniques on noisy label datasets. - Millunzi, Monica; Bonicelli, Lorenzo; Zurli, Alberto; Salman, Alessio; Credi, Jacopo; Calderara, Simone (2023)

DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. - Bontempo, Gianpaolo; Porrello, Angelo; Bolelli, Federico; Calderara, Simone; Ficarra, Elisa (2023)

CaSpeR: Latent Spectral Regularization for Continual Learning. - Frascaroli, Emanuele; Benaglia, Riccardo; Boschini, Matteo; Moschella, Luca; Fiorini, Cosimo; Rodolà, Emanuele; Calderara, Simone (CoRR, 2023)

Input Perturbation Reduces Exposure Bias in Diffusion Models. - Ning, Mang; Sangineto, Enver; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (CoRR, 2023)

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

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. - Bonicelli, Lorenzo; Boschini, Matteo; Frascaroli, Emanuele; Porrello, Angelo; Pennisi, Matteo; Bellitto, Giovanni; Palazzo, Simone; Spampinato, Concetto; Calderara, Simone (CoRR, 2023)

TrackFlow: Multi-Object Tracking with Normalizing Flows. - Mancusi, Gianluca; Panariello, Aniello; Porrello, Angelo; Fabbri, Matteo; Calderara, Simone; Cucchiara, Rita (CoRR, 2023)

Learning the Quality of Machine Permutations in Job Shop Scheduling. - Corsini, Andrea; Calderara, Simone; Dell'Amico, Mauro (IEEE Access, 2022)

Warp and Learn: Novel Views Generation for Vehicles and Other Objects. - Palazzi, Andrea; Bergamini, Luca; Calderara, Simone; Cucchiara, Rita (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Continual semi-supervised learning through contrastive interpolation consistency. - Boschini, Matteo; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone (Pattern Recognit. Lett., 2022)

Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. - Chiara, Luigi Filippo; Coscia, Pasquale; Das, Sourav; Calderara, Simone; Cucchiara, Rita; Ballan, Lamberto (2022)

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. - Monti, Alessio; Porrello, Angelo; Calderara, Simone; Coscia, Pasquale; Ballan, Lamberto; Cucchiara, Rita (2022)

Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. - Panariello, Aniello; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (2022)

Transfer Without Forgetting. - Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Spampinato, Concetto; Calderara, Simone (2022)

SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV. - Ning, Mang; Ma, Xiaoliang; Lu, Yao; Calderara, Simone; Cucchiara, Rita (2022)

First Steps Towards 3D Pedestrian Detection and Tracking from Single Image. - Mancusi, Gianluca; Fabbri, Matteo; Egidi, Sara; Verasani, Mattia; Scarabelli, Paolo; Calderara, Simone; Cucchiara, Rita (2022)

Catastrophic Forgetting in Continual Concept Bottleneck Models. - Marconato, Emanuele; Bontempo, Gianpaolo; Teso, Stefano; Ficarra, Elisa; Calderara, Simone; Passerini, Andrea (2022)

Effects of Auxiliary Knowledge on Continual Learning. - Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Bonicelli, Lorenzo; Boschini, Matteo; Calderara, Simone (2022)

Generalising via Meta-examples for Continual Learning in the Wild. - Bertugli, Alessia; Vincenzi, Stefano; Calderara, Simone; Passerini, Andrea (2022)

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

Class-Incremental Continual Learning into the eXtended DER-verse. - Boschini, Matteo; Bonicelli, Lorenzo; Buzzega, Pietro; Porrello, Angelo; Calderara, Simone (CoRR, 2022)

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. - Monti, Alessio; Porrello, Angelo; Calderara, Simone; Coscia, Pasquale; Ballan, Lamberto; Cucchiara, Rita (CoRR, 2022)

Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. - Chiara, Luigi Filippo; Coscia, Pasquale; Das, Sourav; Calderara, Simone; Cucchiara, Rita; Ballan, Lamberto (CoRR, 2022)

Transfer without Forgetting. - Boschini, Matteo; Bonicelli, Lorenzo; Porrello, Angelo; Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Spampinato, Concetto; Calderara, Simone (CoRR, 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Bellitto, Giovanni; Pennisi, Matteo; Palazzo, Simone; Bonicelli, Lorenzo; Boschini, Matteo; Calderara, Simone; Spampinato, Concetto (CoRR, 2022)

Learning the Quality of Machine Permutations in Job Shop Scheduling. - Corsini, Andrea; Calderara, Simone; Dell'Amico, Mauro (CoRR, 2022)

Consistency-based Self-supervised Learning for Temporal Anomaly Localization. - Panariello, Aniello; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (CoRR, 2022)

Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. - Bonicelli, Lorenzo; Porrello, Angelo; Vincenzi, Stefano; Ippoliti, Carla; Iapaolo, Federica; Conte, Annamaria; Calderara, Simone (CoRR, 2022)

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. - Bonicelli, Lorenzo; Boschini, Matteo; Porrello, Angelo; Spampinato, Concetto; Calderara, Simone (CoRR, 2022)

Video action detection by learning graph-based spatio-temporal interactions. - Tomei, Matteo; Baraldi, Lorenzo; Calderara, Simone; Bronzin, Simone; Cucchiara, Rita (Comput. Vis. Image Underst., 2021)

AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction. - Bertugli, Alessia; Calderara, Simone; Coscia, Pasquale; Ballan, Lamberto; Cucchiara, Rita (Comput. Vis. Image Underst., 2021)

Avalanche: An End-to-End Library for Continual Learning. - Lomonaco, Vincenzo; Pellegrini, Lorenzo; Cossu, Andrea; Carta, Antonio; Graffieti, Gabriele; Hayes, Tyler L.; Lange, Matthias De; Masana, Marc; Pomponi, Jary; Ven, Gido M. van de; Mundt, Martin; She, Qi; et al. (2021)

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

Extracting Accurate Long-term Behavior Changes from a Large Pig Dataset. - Bergamini, Luca; Pini, Stefano; Simoni, Alessandro; Vezzani, Roberto; Calderara, Simone; D'Eath, Rick B.; Fisher, Robert B. (2021)

Generalising via Meta-Examples for Continual Learning in the Wild. - Bertugli, Alessia; Vincenzi, Stefano; Calderara, Simone; Passerini, Andrea (CoRR, 2021)

RMS-Net: Regression and Masking for Soccer Event Spotting. - Tomei, Matteo; Baraldi, Lorenzo; Calderara, Simone; Bronzin, Simone; Cucchiara, Rita (CoRR, 2021)

Avalanche: an End-to-End Library for Continual Learning. - Lomonaco, Vincenzo; Pellegrini, Lorenzo; Cossu, Andrea; Carta, Antonio; Graffieti, Gabriele; Hayes, Tyler L.; Lange, Matthias De; Masana, Marc; Pomponi, Jary; Ven, Gido M. van de; Mundt, Martin; She, Qi; et al. (CoRR, 2021)

Weakly Supervised Continual Learning. - Boschini, Matteo; Buzzega, Pietro; Bonicelli, Lorenzo; Porrello, Angelo; Calderara, Simone (CoRR, 2021)

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? - Fabbri, Matteo; Brasó, Guillem; Maugeri, Gianluca; Cetintas, Orcun; Gasparini, Riccardo; Osep, Aljosa; Calderara, Simone; Leal-Taixé, Laura; Cucchiara, Rita (CoRR, 2021)

Deep learning-based method for vision-guided robotic grasping of unknown objects. - Bergamini, Luca; Sposato, Mario; Pellicciari, Marcello; Peruzzini, Margherita; Calderara, Simone; Schmidt, Juliana (Adv. Eng. Informatics, 2020)

Face-from-Depth for Head Pose Estimation on Depth Images. - Borghi, Guido; Fabbri, Matteo; Vezzani, Roberto; Calderara, Simone; Cucchiara, Rita (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model. - Candeloro, Luca; Ippoliti, Carla; Iapaolo, Federica; Monaco, Federica; Morelli, Daniela; Cuccu, Roberto; Fronte, Pietro; Calderara, Simone; Vincenzi, Stefano; Porrello, Angelo; D'Alterio, Nicola; Calistri, Paolo; et al. (Remote. Sens., 2020)

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

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

Robust Re-Identification by Multiple Views Knowledge Distillation. - Porrello, Angelo; Bergamini, Luca; Calderara, Simone (2020)

Anomaly Detection for Vision-Based Railway Inspection. - Gasparini, Riccardo; Pini, Stefano; Borghi, Guido; Scaglione, Giuseppe; Calderara, Simone; Fedeli, Eugenio; Cucchiara, Rita (2020)

Rethinking Experience Replay: a Bag of Tricks for Continual Learning. - Buzzega, Pietro; Boschini, Matteo; Porrello, Angelo; Calderara, Simone (2020)

DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. - Monti, Alessio; Bertugli, Alessia; Calderara, Simone; Cucchiara, Rita (2020)

The color out of space: learning self-supervised representations for Earth Observation imagery. - Vincenzi, Stefano; Porrello, Angelo; Buzzega, Pietro; Cipriano, Marco; Fronte, Pietro; Cuccu, Roberto; Ippoliti, Carla; Conte, Annamaria; Calderara, Simone (2020)

Anomaly Detection, Localization and Classification for Railway Inspection. - Gasparini, Riccardo; D'Eusanio, Andrea; Borghi, Guido; Pini, Stefano; Scaglione, Giuseppe; Calderara, Simone; Fedeli, Eugenio; Cucchiara, Rita (2020)

Future Urban Scenes Generation Through Vehicles Synthesis. - Simoni, Alessandro; Bergamini, Luca; Palazzi, Andrea; Calderara, Simone; Cucchiara, Rita (2020)

RMS-Net: Regression and Masking for Soccer Event Spotting. - Tomei, Matteo; Baraldi, Lorenzo; Calderara, Simone; Bronzin, Simone; Cucchiara, Rita (2020)

Dark Experience for General Continual Learning: a Strong, Simple Baseline. - Buzzega, Pietro; Boschini, Matteo; Porrello, Angelo; Abati, Davide; Calderara, Simone (2020)

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

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation. - Fabbri, Matteo; Lanzi, Fabio; Calderara, Simone; Alletto, Stefano; Cucchiara, Rita (CoRR, 2020)

Dark Experience for General Continual Learning: a Strong, Simple Baseline. - Buzzega, Pietro; Boschini, Matteo; Porrello, Angelo; Abati, Davide; Calderara, Simone (CoRR, 2020)

AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction. - Bertugli, Alessia; Calderara, Simone; Coscia, Pasquale; Ballan, Lamberto; Cucchiara, Rita (CoRR, 2020)

DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. - Monti, Alessio; Bertugli, Alessia; Calderara, Simone; Cucchiara, Rita (CoRR, 2020)

The color out of space: learning self-supervised representations for Earth Observation imagery. - Vincenzi, Stefano; Porrello, Angelo; Buzzega, Pietro; Cipriano, Marco; Fronte, Pietro; Cuccu, Roberto; Ippoliti, Carla; Conte, Annamaria; Calderara, Simone (CoRR, 2020)

Future Urban Scenes Generation Through Vehicles Synthesis. - Simoni, Alessandro; Bergamini, Luca; Palazzi, Andrea; Calderara, Simone; Cucchiara, Rita (CoRR, 2020)

Robust Re-Identification by Multiple Views Knowledge Distillation. - Porrello, Angelo; Bergamini, Luca; Calderara, Simone (CoRR, 2020)

Inter-Homines: Distance-Based Risk Estimation for Human Safety. - Fabbri, Matteo; Lanzi, Fabio; Gasparini, Riccardo; Calderara, Simone; Baraldi, Lorenzo; Cucchiara, Rita (CoRR, 2020)

Few-Shot Unsupervised Continual Learning through Meta-Examples. - Bertugli, Alessia; Vincenzi, Stefano; Calderara, Simone; Passerini, Andrea (CoRR, 2020)

Rethinking Experience Replay: a Bag of Tricks for Continual Learning. - Buzzega, Pietro; Boschini, Matteo; Porrello, Angelo; Calderara, Simone (CoRR, 2020)

Can adversarial networks hallucinate occluded people with a plausible aspect? - Fulgeri, Federico; Fabbri, Matteo; Alletto, Stefano; Calderara, Simone; Cucchiara, Rita (Comput. Vis. Image Underst., 2019)

Predicting the Driver's Focus of Attention: The DR(eye)VE Project. - Palazzi, Andrea; Abati, Davide; Calderara, Simone; Solera, Francesco; Cucchiara, Rita (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Self-Supervised Optical Flow Estimation by Projective Bootstrap. - Alletto, Stefano; Abati, Davide; Calderara, Simone; Cucchiara, Rita; Rigazio, Luca (IEEE Trans. Intell. Transp. Syst., 2019)

Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. - Porrello, Angelo; Abati, Davide; Calderara, Simone; Cucchiara, Rita (2019)

A Deep-learning-based approach to VM behavior Identification in Cloud Systems. - Stefanini, Matteo; Lancellotti, Riccardo; Baraldi, Lorenzo; Calderara, Simone (2019)

Latent Space Autoregression for Novelty Detection. - Abati, Davide; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (2019)

Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs. - Bergamini, Luca; Trachtman, Abigail Rose; Palazzi, Andrea; Negro, Ercole Del; Dondona, Andrea Capobianco; Marruchella, Giuseppe; Calderara, Simone (2019)

Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs. - Porrello, Angelo; Vincenzi, Stefano; Buzzega, Pietro; Calderara, Simone; Conte, Annamaria; Ippoliti, Carla; Candeloro, Luca; Lorenzo, Alessio Di; Dondona, Andrea Capobianco (2019)

Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect? - Fulgeri, Federico; Fabbri, Matteo; Alletto, Stefano; Calderara, Simone; Cucchiara, Rita (CoRR, 2019)

Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. - Fabbri, Matteo; Borghi, Guido; Lanzi, Fabio; Vezzani, Roberto; Calderara, Simone; Cucchiara, Rita (CoRR, 2019)

Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. - Porrello, Angelo; Abati, Davide; Calderara, Simone; Cucchiara, Rita (CoRR, 2019)

Multi-views Embedding for Cattle Re-identification. - Bergamini, Luca; Porrello, Angelo; Dondona, Andrea Capobianco; Negro, Ercole Del; Mattioli, Mauro; D'Alterio, Nicola; Calderara, Simone (CoRR, 2019)

A Deep Learning based approach to VM behavior identification in cloud systems. - Stefanini, Matteo; Lancellotti, Riccardo; Baraldi, Lorenzo; Calderara, Simone (CoRR, 2019)

Semi-parametric Object Synthesis. - Palazzi, Andrea; Bergamini, Luca; Calderara, Simone; Cucchiara, Rita (CoRR, 2019)

Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs. - Vincenzi, Stefano; Porrello, Angelo; Buzzega, Pietro; Conte, Annamaria; Ippoliti, Carla; Candeloro, Luca; Lorenzo, Alessio Di; Dondona, Andrea Capobianco; Calderara, Simone (CoRR, 2019)

STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection. - Tomei, Matteo; Baraldi, Lorenzo; Calderara, Simone; Bronzin, Simone; Cucchiara, Rita (CoRR, 2019)

Attentive models in vision: Computing saliency maps in the deep learning era. - Cornia, Marcella; Abati, Davide; Baraldi, Lorenzo; Palazzi, Andrea; Calderara, Simone; Cucchiara, Rita (Intelligenza Artificiale, 2018)

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

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

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

Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. - Fabbri, Matteo; Borghi, Guido; Lanzi, Fabio; Vezzani, Roberto; Calderara, Simone; Cucchiara, Rita (2018)

Multi-views Embedding for Cattle Re-identification. - Bergamini, Luca; Porrello, Angelo; Dondona, Andrea Capobianco; Negro, Ercole Del; Mattioli, Mauro; D'Alterio, Nicola; Calderara, Simone (2018)

Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World. - Fabbri, Matteo; Lanzi, Fabio; Calderara, Simone; Palazzi, Andrea; Vezzani, Roberto; Cucchiara, Rita (CoRR, 2018)

AND: Autoregressive Novelty Detectors. - Abati, Davide; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita (CoRR, 2018)

Tracking Social Groups Within and Across Cameras. - Solera, Francesco; Calderara, Simone; Ristani, Ergys; Tomasi, Carlo; Cucchiara, Rita (IEEE Trans. Circuits Syst. Video Technol., 2017)

Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era. - Cornia, Marcella; Abati, Davide; Baraldi, Lorenzo; Palazzi, Andrea; Calderara, Simone; Cucchiara, Rita (2017)

Generative adversarial models for people attribute recognition in surveillance. - Fabbri, Matteo; Calderara, Simone; Cucchiara, Rita (2017)

Signal Processing and Machine Learning for Diplegia Classification. - Bergamini, Luca; Calderara, Simone; Bicocchi, Nicola; Ferrari, Alberto; Vitetta, Giorgio Matteo (2017)

Learning to Map Vehicles into Bird's Eye View. - Palazzi, Andrea; Borghi, Guido; Abati, Davide; Calderara, Simone; Cucchiara, Rita (2017)

Learning where to attend like a human driver. - Palazzi, Andrea; Solera, Francesco; Calderara, Simone; Alletto, Stefano; Cucchiara, Rita (2017)

From Groups to Leaders and Back: Exploring Mutual Predictability Between Social Groups and Their Leaders. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (2017)

Predicting the Driver's Focus of Attention: the DR(eye)VE Project. - Palazzi, Andrea; Abati, Davide; Calderara, Simone; Solera, Francesco; Cucchiara, Rita (CoRR, 2017)

Learning to Map Vehicles into Bird's Eye View. - Palazzi, Andrea; Borghi, Guido; Abati, Davide; Calderara, Simone; Cucchiara, Rita (CoRR, 2017)

Generative Adversarial Models for People Attribute Recognition in Surveillance. - Fabbri, Matteo; Calderara, Simone; Cucchiara, Rita (CoRR, 2017)

Face-from-Depth for Head Pose Estimation on Depth Images. - Borghi, Guido; Fabbri, Matteo; Vezzani, Roberto; Calderara, Simone; Cucchiara, Rita (CoRR, 2017)

Socially Constrained Structural Learning for Groups Detection in Crowd. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Transductive People Tracking in Unconstrained Surveillance. - Coppi, Dalia; Calderara, Simone; Cucchiara, Rita (IEEE Trans. Circuits Syst. Video Technol., 2016)

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

Spotting prejudice with nonverbal behaviours. - Palazzi, Andrea; Calderara, Simone; Bicocchi, Nicola; Vezzali, Loris; Bernardo, Gian Antonio di; Zambonelli, Franco; Cucchiara, Rita (2016)

Where Should You Attend While Driving? - Palazzi, Andrea; Solera, Francesco; Calderara, Simone; Alletto, Stefano; Cucchiara, Rita (CoRR, 2016)

Understanding social relationships in egocentric vision. - Alletto, Stefano; Serra, Giuseppe; Calderara, Simone; Cucchiara, Rita (Pattern Recognit., 2015)

Active query process for digital video surveillance forensic applications. - Coppi, Dalia; Calderara, Simone; Cucchiara, Rita (Signal Image Video Process., 2015)

Towards the evaluation of reproducible robustness in tracking-by-detection. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (2015)

Learning to identify leaders in crowd. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (2015)

Learning to Divide and Conquer for Online Multi-target Tracking. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (2015)

Socially Constrained Structural Learning for Groups Detection in Crowd. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (CoRR, 2015)

Learning to Divide and Conquer for Online Multi-Target Tracking. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (CoRR, 2015)

A complete system for garment segmentation and color classification. - Manfredi, Marco; Grana, Costantino; Calderara, Simone; Cucchiara, Rita (Mach. Vis. Appl., 2014)

Visual Tracking: An Experimental Survey. - Smeulders, Arnold W. M.; Chu, Dung Manh; Cucchiara, Rita; Calderara, Simone; Dehghan, Afshin; Shah, Mubarak (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Pattern recognition and crowd analysis. - Bandini, Stefania; Calderara, Simone; Cucchiara, Rita (Pattern Recognit. Lett., 2014)

Detection of static groups and crowds gathered in open spaces by texture classification. - Manfredi, Marco; Vezzani, Roberto; Calderara, Simone; Cucchiara, Rita (Pattern Recognit. Lett., 2014)

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

Kernelized Structural Classification for 3D Dogs Body Parts Detection. - Pistocchi, Simone; Calderara, Simone; Barnard, Shanis; Ferri, Nicola; Cucchiara, Rita (2014)

Head Pose Estimation in First-Person Camera Views. - Alletto, Stefano; Serra, Giuseppe; Calderara, Simone; Cucchiara, Rita (2014)

Structured learning for detection of social groups in crowd. - Solera, Francesco; Calderara, Simone; Cucchiara, Rita (2013)

Social Groups Detection in Crowd through Shape-Augmented Structured Learning. - Solera, Francesco; Calderara, Simone (2013)

Understanding dyadic interactions applying proxemic theory on videosurveillance trajectories. - Calderara, Simone; Cucchiara, Rita (2012)

Learning non-target items for interesting clothes segmentation in fashion images. - Grana, Costantino; Calderara, Simone; Borghesani, Daniele; Cucchiara, Rita (2012)

Detecting anomalies in people's trajectories using spectral graph analysis. - Calderara, Simone; Heinemann, Uri; Prati, Andrea; Cucchiara, Rita; Tishby, Naftali (Comput. Vis. Image Underst., 2011)

Vision based smoke detection system using image energy and color information. - Calderara, Simone; Piccinini, Paolo; Cucchiara, Rita (Mach. Vis. Appl., 2011)

Mixtures of von Mises Distributions for People Trajectory Shape Analysis. - Calderara, Simone; Prati, Andrea; Cucchiara, Rita (IEEE Trans. Circuits Syst. Video Technol., 2011)

Feature Space Warping Relevance Feedback with Transductive Learning. - Borghesani, Daniele; Coppi, Dalia; Grana, Costantino; Calderara, Simone; Cucchiara, Rita (2011)

Appearance tracking by transduction in surveillance scenarios. - Coppi, Dalia; Calderara, Simone; Cucchiara, Rita (2011)

People appearance tracing in video by spectral graph transduction. - Coppi, Dalia; Calderara, Simone; Cucchiara, Rita (2011)

Iterative active querying for surveillance data retrieval in crime detection and forensics. - Coppi, Dalia; Calderara, Simone; Cucchiara, Rita (2011)

Markerless body part tracking for action recognition. - Calderara, Simone; Prati, Andrea; Cucchiara, Rita (Int. J. Multim. Intell. Secur., 2010)

People trajectory mining with statistical pattern recognition. - Calderara, Simone; Cucchiara, Rita (2010)

Alignment-Based Similarity of People Trajectories Using Semi-directional Statistics. - Calderara, Simone; Prati, Andrea; Cucchiara, Rita (2010)

A videosurveillance data browsing software architecture for forensics: from trajectories similarities to video fragments. - Aravecchia, Manuel; Calderara, Simone; Chiossi, Sara; Cucchiara, Rita (2010)

Moving Pixels in Static Cameras: Detecting Dangerous Situations due to Environment or People. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (2010)

Learning People Trajectories Using Semi-directional Statistics. - Calderara, Simone; Prati, Andrea; Cucchiara, Rita (2009)

A real-time system for abnormal path detection. - Calderara, Simone; Alaimo, Clara; Prati, Andrea; Cucchiara, Rita (2009)

Video surveillance and multimedia forensics: an application to trajectory analysis. - Calderara, Simone; Prati, Andrea; Cucchiara, Rita (2009)

Statistical Pattern Recognition for Multi-Camera Detection, Tracking, and Trajectory Analysis. - Calderara, Simone; Cucchiara, Rita; Vezzani, Roberto; Prati, Andrea (2009)

HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance. - Calderara, Simone; Prati, Andrea; Cucchiara, Rita (Comput. Vis. Image Underst., 2008)

Bayesian-Competitive Consistent Labeling for People Surveillance. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Action Signature: A Novel Holistic Representation for Action Recognition. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (2008)

Smoke detection in video surveillance: the use of ViSOR (video surveillance on-line repository). - Vezzani, Roberto; Calderara, Simone; Piccinini, Paolo; Cucchiara, Rita (2008)

Using circular statistics for trajectory shape analysis. - Prati, Andrea; Calderara, Simone; Cucchiara, Rita (2008)

A markerless approach for consistent action recognition in a multi-camera system. - Calderara, Simone; Prati, Andrea; Cucchiara, Rita (2008)

Reliable smoke detection in the domains of image energy and color. - Piccinini, Paolo; Calderara, Simone; Cucchiara, Rita (2008)

Smoke Detection in Video Surveillance: A MoG Model in the Wavelet Domain. - Calderara, Simone; Piccinini, Paolo; Cucchiara, Rita (2008)

"Inside the bible": segmentation, annotation and retrieval for a new browsing experience. - Grana, Costantino; Borghesani, Daniele; Calderara, Simone; Cucchiara, Rita (2008)

Detection of abnormal behaviors using a mixture of Von Mises distributions. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (2007)

A Distributed Outdoor Video Surveillance System for Detection of Abnormal People Trajectories. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (2007)

A Dynamic Programming Technique for Classifying Trajectories. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (2007)

Group Detection at Camera Handoff for Collecting People Appearance in Multi-camera Systems. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (2006)

Multimedia surveillance: content-based retrieval with multicamera people tracking. - Calderara, Simone; Cucchiara, Rita; Prati, Andrea (2006)

Reliable background suppression for complex scenes. - Calderara, Simone; Melli, Rudy; Prati, Andrea; Cucchiara, Rita (2006)

Entry edge of field of view for multi-camera tracking in distributed video surveillance. - Calderara, Simone; Vezzani, Roberto; Prati, Andrea; Cucchiara, Rita (2005)

Consistent Labeling for Multi-camera Object Tracking. - Calderara, Simone; Prati, Andrea; Vezzani, Roberto; Cucchiara, Rita (2005)