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07/22/2023
Challenges for Monocular 6D Object Pose Estimation in Robotics
Object pose estimation is a core perception task that enables, for examp...
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05/31/2023
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
Object pose estimation is important for object manipulation and scene un...
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07/08/2021
Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning
One of the main issues related to unsupervised machine learning is the c...
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04/23/2021
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
Synthetic data generation has become essential in last years for feeding...
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03/27/2021
H-GAN: the power of GANs in your Hands
We present HandGAN (H-GAN), a cycle-consistent adversarial learning appr...
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04/10/2020
A Review on Deep Learning Techniques for Video Prediction
The ability to predict, anticipate and reason about future outcomes is a...
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03/12/2019
A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments
Interaction in virtual reality (VR) environments is essential to achieve...
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01/19/2019
The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions
Enter the RobotriX, an extremely photorealistic indoor dataset designed ...
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01/18/2019
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
Tactile sensors provide useful contact data during the interaction with ...
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10/16/2018
UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation
Data-driven algorithms have surpassed traditional techniques in almost e...
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08/03/2017
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC
Plane model extraction from three-dimensional point clouds is a necessar...
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04/22/2017