Entry edge of field of view for multi-camera tracking in distributed video surveillance. - Simone Calderara; Roberto Vezzani; Andrea Prati 001; Rita Cucchiara (AVSS, 2005)

Consistent Labeling for Multi-camera Object Tracking. - Simone Calderara; Andrea Prati 001; Roberto Vezzani; Rita Cucchiara (ICIAP, 2005)

Group Detection at Camera Handoff for Collecting People Appearance in Multi-camera Systems. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (AVSS, 2006)

Multimedia surveillance: content-based retrieval with multicamera people tracking. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (VSSN@MM, 2006)

Reliable background suppression for complex scenes. - Simone Calderara; Rudy Melli; Andrea Prati 001; Rita Cucchiara (VSSN@MM, 2006)

Detection of abnormal behaviors using a mixture of Von Mises distributions. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (AVSS, 2007)

A Distributed Outdoor Video Surveillance System for Detection of Abnormal People Trajectories. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (ICDSC, 2007)

A Dynamic Programming Technique for Classifying Trajectories. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (ICIAP, 2007)

Action Signature: A Novel Holistic Representation for Action Recognition. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (AVSS, 2008)

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

Using circular statistics for trajectory shape analysis. - Andrea Prati 001; Simone Calderara; Rita Cucchiara (CVPR, 2008)

A markerless approach for consistent action recognition in a multi-camera system. - Simone Calderara; Andrea Prati 001; Rita Cucchiara (ICDSC, 2008)

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

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

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

HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance. - Simone Calderara; Andrea Prati 001; Rita Cucchiara (Comput. Vis. Image Underst., 2008)

Bayesian-Competitive Consistent Labeling for People Surveillance. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Statistical Pattern Recognition for Multi-Camera Detection, Tracking, and Trajectory Analysis. - Simone Calderara; Rita Cucchiara; Roberto Vezzani; Andrea Prati 001 (Multi-Camera Networks, 2009)

Learning People Trajectories Using Semi-directional Statistics. - Simone Calderara; Andrea Prati 001; Rita Cucchiara (AVSS, 2009)

A real-time system for abnormal path detection. - Simone Calderara; Clara Alaimo; Andrea Prati 001; Rita Cucchiara (ICDP, 2009)

Video surveillance and multimedia forensics: an application to trajectory analysis. - Simone Calderara; Andrea Prati 001; Rita Cucchiara (MiFor@MM, 2009)

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

Alignment-Based Similarity of People Trajectories Using Semi-directional Statistics. - Simone Calderara; Andrea Prati 001; Rita Cucchiara (ICPR, 2010)

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

Markerless body part tracking for action recognition. - Simone Calderara; Andrea Prati 001; Rita Cucchiara (Int. J. Multim. Intell. Secur., 2010)

Moving Pixels in Static Cameras: Detecting Dangerous Situations due to Environment or People. - Simone Calderara; Rita Cucchiara; Andrea Prati 001 (Intelligent Multimedia Analysis for Security Applications, 2010)

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

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

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

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

Detecting anomalies in people's trajectories using spectral graph analysis. - Simone Calderara; Uri Heinemann; Andrea Prati 001; Rita Cucchiara; Naftali Tishby (Comput. Vis. Image Underst., 2011)

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

Mixtures of von Mises Distributions for People Trajectory Shape Analysis. - Simone Calderara; Andrea Prati 001; Rita Cucchiara (IEEE Trans. Circuits Syst. Video Technol., 2011)

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

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

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

Social Groups Detection in Crowd through Shape-Augmented Structured Learning. - Francesco Solera; Simone Calderara (ICIAP (1), 2013)

From Ego to Nos-Vision: Detecting Social Relationships in First-Person Views. - Stefano Alletto; Giuseppe Serra 001; Simone Calderara; Francesco Solera; Rita Cucchiara (CVPR Workshops, 2014)

Head Pose Estimation in First-Person Camera Views. - Stefano Alletto; Giuseppe Serra 001; Simone Calderara; Rita Cucchiara (ICPR, 2014)

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

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

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

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

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

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

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

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

Understanding social relationships in egocentric vision. - Stefano Alletto; Giuseppe Serra 001; Simone Calderara; Rita Cucchiara (Pattern Recognit., 2015)

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

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 (CVPR Workshops, 2016)

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

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

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

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

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

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

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

Learning to Map Vehicles into Bird's Eye View. - Andrea Palazzi; Guido Borghi; Davide Abati; Simone Calderara; Rita Cucchiara (ICIAP (1), 2017)

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

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

Unsupervised Vehicle Re-Identification Using Triplet Networks. - Pedro A. Marín-Reyes; Andrea Palazzi; Luca Bergamini; Simone Calderara; Javier Lorenzo-Navarro; Rita Cucchiara (CVPR Workshops, 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 (ECCV (4), 2018)

End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization. - Andrea Palazzi; Luca Bergamini; Simone Calderara; Rita Cucchiara (ECCV Workshops (3), 2018)

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

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

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

Attentive models in vision: Computing saliency maps in the deep learning era. - Marcella Cornia; Davide Abati; Lorenzo Baraldi 001; Andrea Palazzi; Simone Calderara; Rita Cucchiara (Intelligenza Artificiale, 2018)

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

A Deep-learning-based approach to VM behavior Identification in Cloud Systems. - Matteo Stefanini; Riccardo Lancellotti; Lorenzo Baraldi 001; Simone Calderara (CLOSER, 2019)

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

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 (ICIAP Workshops, 2019)

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

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

STAGE: Spatio-Temporal Attention on Graph Entities for Video Action Detection. - Matteo Tomei; Lorenzo Baraldi 001; Simone Calderara; Simone Bronzin; Rita Cucchiara (CoRR, 2019)

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

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

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

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

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

Robust Re-Identification by Multiple Views Knowledge Distillation. - Angelo Porrello; Luca Bergamini; Simone Calderara (ECCV (10), 2020)

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

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

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 (ICPR, 2020)

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

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

RMS-Net: Regression and Masking for Soccer Event Spotting. - Matteo Tomei; Lorenzo Baraldi 001; Simone Calderara; Simone Bronzin; Rita Cucchiara (ICPR, 2020)

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 (ICPR, 2020)

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

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

Inter-Homines: Distance-Based Risk Estimation for Human Safety. - Matteo Fabbri; Fabio Lanzi; Riccardo Gasparini; Simone Calderara; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2020)

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

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

Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model. - 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; et al. (Remote. Sens., 2020)

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; et al. (CVPR Workshops, 2021)

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

Extracting Accurate Long-term Behavior Changes from a Large Pig Dataset. - Luca Bergamini; Stefano Pini; Alessandro Simoni; Roberto Vezzani; Simone Calderara; Rick B. D'Eath; Robert B. Fisher (VISIGRAPP (5: VISAPP), 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; et al. (CoRR, 2021)

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

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

Video action detection by learning graph-based spatio-temporal interactions. - Matteo Tomei; Lorenzo Baraldi 001; Simone Calderara; Simone Bronzin; Rita Cucchiara (Comput. Vis. Image Underst., 2021)

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

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

Transfer Without Forgetting. - Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Concetto Spampinato; Simone Calderara (ECCV (23), 2022)

Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. - Aniello Panariello; Angelo Porrello; Simone Calderara; Rita Cucchiara (ECCV Workshops (5), 2022)

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 (ICIAP (2), 2022)

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

SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV. - Mang Ning; Xiaoliang Ma; Yao Lu; Simone Calderara; Rita Cucchiara (ICIAP (3), 2022)

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

Generalising via Meta-examples for Continual Learning in the Wild. - Alessia Bertugli; Stefano Vincenzi; Simone Calderara; Andrea Passerini (LOD (1), 2022)

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

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

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

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

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

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

Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. - Gianpaolo Bontempo; Luca Lumetti; Angelo Porrello; Federico Bolelli; Simone Calderara; Elisa Ficarra (ICIAP (2), 2023)

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

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

Where Research meets Industry: New Challenges and Opportunities at AImageLab. - Rita Cucchiara; Lorenzo Baraldi 001; Simone Calderara; Marcella Cornia; Matteo Fabbri; Costantino Grana; Angelo Porrello; Roberto Vezzani (Ital-IA, 2023)

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

DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. - Gianpaolo Bontempo; Angelo Porrello; Federico Bolelli; Simone Calderara; Elisa Ficarra (MICCAI (1), 2023)

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

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

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

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

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

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 (BMVC, 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 (ECCV Workshops (21), 2024)

Semantic Residual Prompts for Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Enver Sangineto; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (ECCV (61), 2024)

Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes. - Riccardo Benaglia; Angelo Porrello; Pietro Buzzega; Simone Calderara; Rita Cucchiara (ICPR (16), 2024)

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 (ICPR (9), 2024)

An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (LOD (1), 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 (NeurIPS, 2024)

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

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

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

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

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

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

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

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

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

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

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

How to Train Your Metamorphic Deep Neural Network. - Thomas Sommariva; Simone Calderara; Angelo Porrello (CoRR, 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 (CoRR, 2025)

Intrinsic Training Signals for Federated Learning Aggregation. - Cosimo Fiorini; Matteo Mosconi; Pietro Buzzega; Riccardo Salami; Simone Calderara (CoRR, 2025)