1k citations · 1.4k across the 8 of their papers we have counts for
8 papers
Text To 3D Object Generation For Scalable Room Assembly
Sonia Laguna, Alberto Garcia-Garcia, Marie-Julie Rakotosaona +3
Modern machine learning models for scene understanding, such as depth estimation and object tracking, rely on large, high-quality datasets that mimic real-world deployment scenario…
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas +4
Synthetic data generation has become essential in last years for feeding data-driven algorithms, which surpassed traditional techniques performance in almost every computer vision…
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
The ability to predict, anticipate and reason about future outcomes is a key component of intelligent decision-making systems. In light of the success of deep learning in computer…
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…
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…
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…
UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation
Pablo Martinez-Gonzalez, Sergiu Oprea, Alberto Garcia-Garcia +3
Data-driven algorithms have surpassed traditional techniques in almost every aspect in robotic vision problems. Such algorithms need vast amounts of quality data to be able to work…
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia, Sergio Orts-Escolano, Sergiu Oprea +2
Image semantic segmentation is more and more being of interest for computer vision and machine learning researchers. Many applications on the rise need accurate and efficient segme…