1 code implementation • 22 Sep 2022 • Dario Mantegazza, Alessandro Giusti, Luca M. Gambardella, Andrea Rizzoli, Jérôme Guzzi
We consider the task of detecting anomalies for autonomous mobile robots based on vision.
no code implementations • 27 Oct 2021 • Marco Ferri, Dario Mantegazza, Elia Cereda, Nicky Zimmerman, Luca M. Gambardella, Daniele Palossi, Jérôme Guzzi, Alessandro Giusti
We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synthetic background substitution to learn a lightweight CNN model from a small real-world training set.
1 code implementation • 27 Oct 2021 • Dario Mantegazza, Carlos Redondo, Fran Espada, Luca M. Gambardella, Alessandro Giusti, Jérôme Guzzi
We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i. e., anomalous) with respect to the robot's previous experience in similar environments.
1 code implementation • 24 Sep 2018 • Dario Mantegazza, Jérôme Guzzi, Luca M. Gambardella, Alessandro Giusti
We consider the task of controlling a quadrotor to hover in front of a freely moving user, using input data from an onboard camera.
3 code implementations • 19 Sep 2018 • Mirko Nava, Jerome Guzzi, R. Omar Chavez-Garcia, Luca M. Gambardella, Alessandro Giusti
We introduce a general self-supervised approach to predict the future outputs of a short-range sensor (such as a proximity sensor) given the current outputs of a long-range sensor (such as a camera); we assume that the former is directly related to some piece of information to be perceived (such as the presence of an obstacle in a given position), whereas the latter is information-rich but hard to interpret directly.
Robotics
no code implementations • 21 Nov 2014 • Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Cireşan, Jürgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.
no code implementations • 7 Feb 2013 • Alessandro Giusti, Dan C. Cireşan, Jonathan Masci, Luca M. Gambardella, Jürgen Schmidhuber
Deep Neural Networks now excel at image classification, detection and segmentation.
no code implementations • NeurIPS 2012 • Dan Ciresan, Alessandro Giusti, Luca M. Gambardella, Jürgen Schmidhuber
The input layer maps each window pixel to a neuron.
no code implementations • 1 Feb 2011 • Dan C. Cireşan, Ueli Meier, Jonathan Masci, Luca M. Gambardella, Jürgen Schmidhuber
We present a fast, fully parameterizable GPU implementation of Convolutional Neural Network variants.