1 code implementation • 23 Sep 2023 • Leonardo Saraceni, Ionut M. Motoi, Daniele Nardi, Thomas A. Ciarfuglia
The problem of multi-object tracking (MOT) consists in detecting and tracking all the objects in a video sequence while keeping a unique identifier for each object.
no code implementations • 27 Aug 2022 • Thomas A. Ciarfuglia, Ionut M. Motoi, Leonardo Saraceni, Mulham Fawakherji, Alberto Sanfeliu, Daniele Nardi
To improve detection and segmentation on the target data, we propose to train the segmentation algorithm with a weak bounding box label, while for tracking we leverage 3D Structure from Motion algorithms to generate new labels from already labelled samples.
no code implementations • 9 Feb 2021 • Silvia Cascianelli, Gabriele Costante, Alessandro Devo, Thomas A. Ciarfuglia, Paolo Valigi, Mario L. Fravolini
Natural Language Video Description (NLVD) has recently received strong interest in the Computer Vision, Natural Language Processing (NLP), Multimedia, and Autonomous Robotics communities.
no code implementations • 14 Mar 2018 • Gabriele Costante, Thomas A. Ciarfuglia, Filippo Biondi
In this work, the authors propose a novel experimental alternative to the InSAR method that uses single-pass acquisitions, using a data driven approach implemented by Deep Neural Networks.
no code implementations • 25 Sep 2017 • Michele Mancini, Gabriele Costante, Paolo Valigi, Thomas A. Ciarfuglia
In this work, we propose an end-to-end deep architecture that jointly learns to detect obstacles and estimate their depth for MAV flight applications.
no code implementations • 18 Sep 2017 • Gabriele Costante, Thomas A. Ciarfuglia
In addition, we propose to learn the latent space jointly with the estimation task, so that the learned OF features become a more robust description of the OF input.
4 code implementations • 21 Jul 2016 • Michele Mancini, Gabriele Costante, Paolo Valigi, Thomas A. Ciarfuglia
We propose a novel appearance-based Object Detection system that is able to detect obstacles at very long range and at a very high speed (~300Hz), without making assumptions on the type of motion.