activity
20142023
most citedMetric Learning for Novelty and Anomaly Detection

63 citations · 115 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 3 cited

Implicit Learning of Scene Geometry from Poses for Global Localization

Mohammad Altillawi, Shile Li, Sai Manoj Prakhya +2

Global visual localization estimates the absolute pose of a camera using a single image, in a previously mapped area. Obtaining the pose from a single image enables many robotics a…

cs.CV2021

Weakly Supervised Multi-Object Tracking and Segmentation

Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò +2

We introduce the problem of weakly supervised Multi-Object Tracking and Segmentation, i.e. joint weakly supervised instance segmentation and multi-object tracking, in which we do n…

econ.GN2020★ 49 cited

Monitoring War Destruction from Space: A Machine Learning Approach

Hannes Mueller, Andre Groger, Jonathan Hersh +2

Existing data on building destruction in conflict zones rely on eyewitness reports or manual detection, which makes it generally scarce, incomplete and potentially biased. This lac…

cs.CV2019

Learning Multi-Object Tracking and Segmentation from Automatic Annotations

Lorenzo Porzi, Markus Hofinger, Idoia Ruiz +3

In this work we contribute a novel pipeline to automatically generate training data, and to improve over state-of-the-art multi-object tracking and segmentation (MOTS) methods. Our…

cs.CV2018★ 63 cited

Metric Learning for Novelty and Anomaly Detection

Marc Masana, Idoia Ruiz, Joan Serrat +2

When neural networks process images which do not resemble the distribution seen during training, so called out-of-distribution images, they often make wrong predictions, and do so…

cs.CV2014

Road Detection via On--line Label Transfer

José M. Álvarez, Ferran Diego, Joan Serrat +1

Vision-based road detection is an essential functionality for supporting advanced driver assistance systems (ADAS) such as road following and vehicle and pedestrian detection. The…