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

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

Deep Learning-Based Method for Vision-Guided Robotic Grasping of Unknown Objects. - Luca Bergamini; Mario Sposato; Margherita Peruzzini; Roberto Vezzani; Marcello Pellicciari (TE, 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)

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)

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

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Long Chen; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRL, 2020)

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

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

One Thousand and One Hours: Self-driving Motion Prediction Dataset. - John Houston; Guido Zuidhof; Luca Bergamini; Yawei Ye; Ashesh Jain; Sammy Omari; Vladimir Iglovikov; Peter Ondruska (CoRR, 2020)

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. - Oliver Scheel; Luca Bergamini; Maciej Wolczyk; Blazej Osinski; Peter Ondruska (CoRL, 2021)

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. - Luca Bergamini; Yawei Ye; Oliver Scheel; Long Chen; Chih Hu; Luca Del Pero; Blazej Osinski; Hugo Grimmett; Peter Ondruska (ICRA, 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)

DriverGym: Democratising Reinforcement Learning for Autonomous Driving. - Parth Kothari; Christian Perone; Luca Bergamini; Alexandre Alahi; Peter Ondruska (CoRR, 2021)

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)