39 citations · 41 across the 5 of their papers we have counts for
4 papers · 1 filter
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze +1
Object pose estimation is important for object manipulation and scene understanding. In order to improve the general applicability of pose estimators, recent research focuses on pr…
Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning
Luis Lucas, David Tomas, Jose Garcia-Rodriguez
One of the main issues related to unsupervised machine learning is the cost of processing and extracting useful information from large datasets. In this work, we propose a classifi…
The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions
Alberto Garcia-Garcia, Pablo Martinez-Gonzalez, Sergiu Oprea +4
Enter the RobotriX, an extremely photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems. The Robo…
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC
Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo +1
Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor locali…