Tiago Almeida

According to our database, Tiago Almeida authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction.

Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo Gutiérrez-Maestro, Lucas Morillo-Méndez, Andrey Rudenko, Luigi Palmieri, Tomasz Piotr Kucner, Martin Magnusson, Achim J. Lilienthal

Int. J. Robotics Res., 2025

THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces.

Tiago Rodrigues de Almeida, Tim Schreiter, Andrey Rudenko, Luigi Palmieri, Johannes A. Stork, Achim J. Lilienthal

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024

Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets.

Tiago Rodrigues de Almeida, Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Johannes A. Stork, Martin Magnusson, Achim J. Lilienthal

IEEE Robotics Autom. Lett., July, 2024

THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces.

Tiago Rodrigues de Almeida, Tim Schreiter, Andrey Rudenko, Luigi Palmieiri, Johannes A. Stork, Achim J. Lilienthal

CoRR, 2024

2023

Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction.

Tiago Rodrigues de Almeida, Óscar Martínez Mozos

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-conditioned Human Mtion Prediction.

Tiago Rodrigues de Almeida, Andrey Rudenko, Tim Schreiter, Yufei Zhu, Eduardo Gutiérrez-Maestro, Lucas Morillo-Méndez, Tomasz Piotr Kucner, Óscar Martínez Mozos, Martin Magnusson, Luigi Palmieri, Kai O. Arras, Achim J. Lilienthal

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized.

Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo Gutiérrez-Maestro, Lucas Morillo-Méndez, Andrey Rudenko, Tomasz Piotr Kucner, Óscar Martínez Mozos, Martin Magnusson, Luigi Palmieri, Kai O. Arras, Achim J. Lilienthal

CoRR, 2022

Context-free Self-Conditioned GAN for Trajectory Forecasting.

Tiago Rodrigues de Almeida, Eduardo Gutiérrez-Maestro, Óscar Martínez Mozos

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Comparative Analysis of Deep Neural Networks for the Detection and Decoding of Data Matrix Landmarks in Cluttered Indoor Environments.

Tiago Almeida, Vítor Santos, Óscar Martínez Mozos, Bernardo Lourenço

J. Intell. Robotic Syst., 2021

2020

Road detection based on simultaneous deep learning approaches.

Tiago Almeida, Bernardo Lourenço, Vítor M. F. Santos

Robotics Auton. Syst., 2020

Performance Analysis on Deep Learning Semantic Segmentation with multivariate Training Procedures.

Bernardo Lourenço, Vítor M. F. Santos, Miguel Oliveira, Tiago Almeida

Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

Detection of Data Matrix Encoded Landmarks in Unstructured Environments using Deep Learning.

Tiago Almeida, Vítor M. F. Santos, Bernardo Lourenço, Pedro Fonseca

Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019

Scalable ROS-Based Architecture to Merge Multi-source Lane Detection Algorithms.

Tiago Almeida, Vítor M. F. Santos, Bernardo Lourenço

Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019