Antonio Loquercio
Antonio Loquercio
PhD candidate, University of Zurich
Verified email at ifi.uzh.ch - Homepage
Title
Cited by
Cited by
Year
Dronet: Learning to fly by driving
A Loquercio, AI Maqueda, CR Del-Blanco, D Scaramuzza
IEEE Robotics and Automation Letters 3 (2), 1088-1095, 2018
2302018
Event-based vision meets deep learning on steering prediction for self-driving cars
AI Maqueda, A Loquercio, G Gallego, N García, D Scaramuzza
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1892018
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
D Palossi, A Loquercio, F Conti, E Flamand, D Scaramuzza
IEEE Internet of Things Journal, 2019
109*2019
Deep drone racing: Learning agile flight in dynamic environments
E Kaufmann, A Loquercio, R Ranftl, A Dosovitskiy, V Koltun, ...
Conference on Robot Learning, 133-145, 2018
832018
End-to-End Learning of Representations for Asynchronous Event-Based Data
D Gehrig, A Loquercio, KG Derpanis, D Scaramuzza
IEEE International Conference on Computer Vision (ICCV), 2019
642019
A General Framework for Uncertainty Estimation in Deep Learning
A Loquercio, M Segu, D Scaramuzza
IEEE Robotics and Automation Letters 5 (2), 3153-3160, 2020
56*2020
Deep Drone Racing: From Simulation to Reality with Domain Randomization
A Loquercio, E Kaufmann, R Ranftl, A Dosovitskiy, V Koltun, ...
IEEE Transaction on Robotics (T-RO), 2019
532019
Unsupervised Moving Object Detection via Contextual Information Separation
Y Yang, A Loquercio, D Scaramuzza, S Soatto
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
302019
Deep Drone Acrobatics
E Kaufmann, A Loquercio, R Ranftl, M Müller, V Koltun, D Scaramuzza
Robotics: Science and System (RSS), 2020
212020
Efficient descriptor learning for large scale localization
A Loquercio, M Dymczyk, B Zeisl, S Lynen, I Gilitschenski, R Siegwart
2017 IEEE International Conference on Robotics and Automation (ICRA), 3170-3177, 2017
182017
Place recognition in semi-dense maps: Geometric and learning-based approaches
Y Ye, T Cieslewski, A Loquercio, D Scaramuzza
British Machine Vision Conference (BMVC), 1-8, 2017
122017
Event-based Asynchronous Sparse Convolutional Networks
N Messikommer, D Gehrig, A Loquercio, D Scaramuzza
European Conference on Computer Vision (ECCV), 2020
112020
Flightmare: A Flexible Quadrotor Simulator
Y Song, S Naji, E Kaufmann, A Loquercio, D Scaramuzza
Conference on Robot Learning (CORL), 2020
102020
Primal-dual mesh convolutional neural networks
F Milano, A Loquercio, A Rosinol, D Scaramuzza, L Carlone
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
62020
Computational eco-systems for handwritten digits recognition
A Loquercio, F Della Torre, M Buscema
arXiv preprint arXiv:1703.01872, 2017
32017
AutoTune: Controller Tuning for High-Speed Flight
A Loquercio, A Saviolo, D Scaramuzza
arXiv preprint arXiv:2103.10698, 2021
2021
Learning Depth With Very Sparse Supervision
A Loquercio, A Dosovitskiy, D Scaramuzza
IEEE Robotics and Automation Letters 5 (4), 5542-5549, 2020
2020
Agile Autonomy: High-Speed Flight with On-Board Sensing and Computing
A Loquercio, D Scaramuzza
Italian Conference on Robotics and Intelligent Machines (IRIM), 2020
2020
Learning to Control Drones in Natural Environments: A Survey
A Loquercio, D Scaramuzza
ICRA Workshop on Perception, Inference, and Learning for Joint Semantic …, 2018
2018
Supplementary Material of Primal-Dual Mesh Convolutional Neural Networks
F Milano, A Loquercio, A Rosinol, D Scaramuzza, L Carlone
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Articles 1–20