65 citations · 66 across the 5 of their papers we have counts for
5 papers
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation
Soumava Kumar Roy, Leonardo Citraro, Sina Honari +1
Supervised approaches to 3D pose estimation from single images are remarkably effective when labeled data is abundant. However, as the acquisition of ground-truth 3D labels is labo…
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation
Doruk Oner, Mateusz Koziński, Leonardo Citraro +3
We propose a novel, connectivity-oriented loss function for training deep convolutional networks to reconstruct network-like structures, like roads and irrigation canals, from aeri…
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation
Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro +1
Most state-of-the-art approaches to road extraction from aerial images rely on a CNN trained to label road pixels as foreground and remainder of the image as background. The CNN is…
Real-Time Camera Pose Estimation for Sports Fields
Leonardo Citraro, Pablo Márquez-Neila, Stefano Savarè +6
Given an image sequence featuring a portion of a sports field filmed by a moving and uncalibrated camera, such as the one of the smartphones, our goal is to compute automatically i…
Towards Reliable Evaluation of Road Network Reconstructions
Leonardo Citraro, Mateusz Koziński, Pascal Fua
Existing performance measures rank delineation algorithms inconsistently, which makes it difficult to decide which one is best in any given situation. We show that these inconsiste…