no code implementations • 3 Mar 2022 • Lukas Platinsky, Tayyab Naseer, Hui Chen, Ben Haines, Haoyue Zhu, Hugo Grimmett, Luca Del Pero
This motivates the use of commodity sensors like cameras for data collection, which are an order of magnitude cheaper than HD sensor suites, but offer lower fidelity.
no code implementations • 16 Jul 2021 • Ashesh Jain, Luca Del Pero, Hugo Grimmett, Peter Ondruska
Despite the numerous successes of machine learning over the past decade (image recognition, decision-making, NLP, image synthesis), self-driving technology has not yet followed the same trend.
no code implementations • 26 May 2021 • Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska
If cheaper sensors could be used for collection instead, data availability would go up, which is crucial in a field where data volume requirements are large and availability is small.
1 code implementation • 26 May 2021 • Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska
We train our system directly from 1, 000 hours of driving logs and measure both realism, reactivity of the simulation as the two key properties of the simulation.
no code implementations • 2 Apr 2021 • Antoine Fond, Luca Del Pero, Nikola Sivacki, Marco Paladini
We demonstrate our method for the task of visual localization of a query image within a database of images with known pose.
no code implementations • 10 Nov 2020 • Lukas Platinsky, Michal Szabados, Filip Hlasek, Ross Hemsley, Luca Del Pero, Andrej Pancik, Bryan Baum, Hugo Grimmett, Peter Ondruska
In this paper we present the first published end-to-end production computer-vision system for powering city-scale shared augmented reality experiences on mobile devices.
no code implementations • CVPR 2016 • Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
We propose a motion-based method to discover the physical parts of an articulated object class (e. g. head/torso/leg of a horse) from multiple videos.
no code implementations • 30 Nov 2015 • Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
On behavior discovery, we outperform the state-of-the-art Improved DTF descriptor.
no code implementations • 1 Dec 2014 • Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
Given unstructured videos of deformable objects, we automatically recover spatiotemporal correspondences to map one object to another (such as animals in the wild).
no code implementations • CVPR 2015 • Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
We propose an unsupervised approach for discovering characteristic motion patterns in videos of highly articulated objects performing natural, unscripted behaviors, such as tigers in the wild.
no code implementations • CVPR 2013 • Luca Del Pero, Joshua Bowdish, Bonnie Kermgard, Emily Hartley, Kobus Barnard
For example, we model a chair as a set of four legs, a seat and a backrest.