activity
20172021
most citedThree-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC

39 citations · 39 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2021

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…

cs.GR2019

A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments

Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +3

Interaction in virtual reality (VR) environments is essential to achieve a pleasant and immersive experience. Most of the currently existing VR applications, lack of robust object…

cs.CV2019

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…

cs.LG2019

TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors

Alberto Garcia-Garcia, Brayan Stiven Zapata-Impata, Sergio Orts-Escolano +2

Tactile sensors provide useful contact data during the interaction with an object which can be used to accurately learn to determine the stability of a grasp. Most of the works in…

cs.CV201739 cited

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…