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Luca Bergamini
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2020 – today
- 2022
- [j2]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): 2216-2227 (2022) - 2021
- [c12]Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska:
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRL 2021: 718-728 - [c11]Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska:
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. ICRA 2021: 5119-5125 - [c10]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: 524-533 - [i8]Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska:
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. CoRR abs/2105.12332 (2021) - [i7]Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska:
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRR abs/2109.13333 (2021) - [i6]Parth Kothari, Christian Perone, Luca Bergamini, Alexandre Alahi, Peter Ondruska:
DriverGym: Democratising Reinforcement Learning for Autonomous Driving. CoRR abs/2111.06889 (2021) - 2020
- [j1]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: 101052 (2020) - [c9]John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Long Chen, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska:
One Thousand and One Hours: Self-driving Motion Prediction Dataset. CoRL 2020: 409-418 - [c8]Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. ECCV (10) 2020: 93-110 - [c7]Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Future Urban Scenes Generation Through Vehicles Synthesis. ICPR 2020: 4552-4559 - [i5]John Houston, Guido Zuidhof, Luca Bergamini, Yawei Ye, Ashesh Jain, Sammy Omari, Vladimir Iglovikov, Peter Ondruska:
One Thousand and One Hours: Self-driving Motion Prediction Dataset. CoRR abs/2006.14480 (2020) - [i4]Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Future Urban Scenes Generation Through Vehicles Synthesis. CoRR abs/2007.00323 (2020) - [i3]Angelo Porrello, Luca Bergamini, Simone Calderara:
Robust Re-Identification by Multiple Views Knowledge Distillation. CoRR abs/2007.04174 (2020)
2010 – 2019
- 2019
- [c6]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: 352-360 - [i2]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 abs/1902.04886 (2019) - [i1]Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
Semi-parametric Object Synthesis. CoRR abs/1907.10634 (2019) - 2018
- [c5]Pedro A. Marín-Reyes, Andrea Palazzi, Luca Bergamini, Simone Calderara, Javier Lorenzo-Navarro, Rita Cucchiara:
Unsupervised Vehicle Re-Identification Using Triplet Networks. CVPR Workshops 2018: 166-171 - [c4]Andrea Palazzi, Luca Bergamini, Simone Calderara, Rita Cucchiara:
End-to-End 6-DoF Object Pose Estimation Through Differentiable Rasterization. ECCV Workshops (3) 2018: 702-715 - [c3]Luca Bergamini, Mario Sposato, Margherita Peruzzini, Roberto Vezzani, Marcello Pellicciari:
Deep Learning-Based Method for Vision-Guided Robotic Grasping of Unknown Objects. TE 2018: 281-290 - [c2]Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara:
Multi-views Embedding for Cattle Re-identification. SITIS 2018: 184-191 - 2017
- [c1]Luca Bergamini, Simone Calderara, Nicola Bicocchi, Alberto Ferrari, Giorgio Matteo Vitetta:
Signal Processing and Machine Learning for Diplegia Classification. ICIAP Workshops 2017: 97-108
Coauthor Index
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