Pablo Martinez-Gonzalez

Orcid: 0000-0001-6037-9815

According to our database1, Pablo Martinez-Gonzalez authored at least 16 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
A Review on Deep Learning Techniques for Video Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unsupervised Hyperbolic Action Recognition.
Proceedings of the ROBOT 2022: Fifth Iberian Robotics Conference, 2022

Synthetic contact maps to predict grasp regions on objects.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Estimating Context Aware Human-Object Interaction Using Deep Learning-Based Object Recognition Architectures.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Interaction Estimation in Egocentric Videos via Simultaneous Hand-Object Recognition.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

H-GAN: the power of GANs in your Hands.
Proceedings of the International Joint Conference on Neural Networks, 2021

UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments.
Proceedings of the International Joint Conference on Neural Networks, 2021

Graph Convolutional Neural Networks-based 3D Hand Pose Estimation over Point Clouds.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
UnrealROX: an extremely photorealistic virtual reality environment for robotics simulations and synthetic data generation.
Virtual Real., 2020

COMBAHO: A deep learning system for integrating brain injury patients in society.
Pattern Recognit. Lett., 2020

2019
Accelerating Deep Action Recognition Networks for Real-Time Applications.
Int. J. Comput. Vis. Image Process., 2019

A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments.
CoRR, 2019

A visually realistic grasping system for object manipulation and interaction in virtual reality environments.
Comput. Graph., 2019

3D Hand Joints Position Estimation with Graph Convolutional Networks: A GraphHands Baseline.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

2018
A survey on deep learning techniques for image and video semantic segmentation.
Appl. Soft Comput., 2018

The RobotriX: An Extremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018


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