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Primal-Dual Mesh Convolutional Neural Networks

Oct 23, 2020
Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone

* 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 
* Accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada. Code available at: https://github.com/MIT-SPARK/PD-MeshNet 

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Flightmare: A Flexible Quadrotor Simulator

Sep 01, 2020
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza


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Deep Drone Acrobatics

Jun 11, 2020
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

* Robotics, Science, and Systems (RSS), 2020 
* 8 pages + 2 pages references. Video: https://youtu.be/2N_wKXQ6MXA. Code: https://github.com/uzh-rpg/deep_drone_acrobatics 

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Event-based Asynchronous Sparse Convolutional Networks

Mar 20, 2020
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza


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Learning Depth via Interaction

Mar 02, 2020
Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza


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A General Framework for Uncertainty Estimation in Deep Learning

Jul 18, 2019
Mattia Segù, Antonio Loquercio, Davide Scaramuzza


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Deep Drone Racing: From Simulation to Reality with Domain Randomization

May 21, 2019
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* 12 pages. arXiv admin note: text overlap with arXiv:1806.08548 

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End-to-End Learning of Representations for Asynchronous Event-Based Data

May 14, 2019
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza


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A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones

Jan 15, 2019
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini

* 14 pages, 13 figures, 5 tables, 2 listings, under review on IEEE Internet of Things Journal (IEEE IOTJ) 

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Unsupervised Moving Object Detection via Contextual Information Separation

Jan 10, 2019
Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto


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Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Oct 09, 2018
Elia Kaufmann, Antonio Loquercio, Rene Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* Conference on Robotic Learning (CoRL), 2018 
* Accepted for publication in the Conference on Robotic Learning (CoRL) 2018, Zurich. 10 pages (+3 supplementary) 

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Ultra Low Power Deep-Learning-powered Autonomous Nano Drones

May 04, 2018
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini

* 12 pages, 10 figures, 6 tables, under review on IEEE Internet of Things Journal (IEEE IOTJ) 

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Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Apr 04, 2018
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso Garcia, Davide Scaramuzza

* IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, 2018 
* 9 pages, 8 figures, 6 tables. Video: https://youtu.be/_r_bsjkJTHA 

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Computational Eco-Systems for Handwritten Digits Recognition

May 26, 2017
Antonio Loquercio, Francesca Della Torre, Massimo Buscema

* Withdrawn from Journal for flaws in methodology 

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