Personer

Francesco Verdoja

Academy Research Fellow
Academy Research Fellow
T410 Dept. Electrical Engineering and Automation
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Telefonnummer
+358504709544

Utmärkelser

2023 Best Paper Award

Award or honor granted for a specific work Department of Electrical Engineering and Automation Mar 2024

PhD scholarship Sisvel Technology

3-year PhD scholarship, founded by Sisvel Technology, devoted to the PhD project "Innovative techniques for segmentation and movement estimation in HD video sequences".
Award or honor granted for academic or artistic career Department of Electrical Engineering and Automation Jan 2014

Best Student Award

A scholarship of 500 € awarded to the best PhD student attending the school
Invitation or ranking in competition Department of Electrical Engineering and Automation Jul 2014

Best 10% Paper

The article "Superpixel-driven Graph Transform for Image Compression" has been ranked amongst the best 10% of all the accepted articles at ICIP 2015.
Award or honor granted for a specific work Department of Electrical Engineering and Automation Sep 2015

Academic GPU Grant

Awarded a GPU NVIDIA GeForce Titan Xp to support my research on deep learning in robotics
Award or honor granted for academic or artistic career Department of Electrical Engineering and Automation Aug 2018

Forskningsgrupp

  • Intelligent Robotics, Academy Research Fellow

Publikationer

Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation

Shivam Chaubey, Francesco Verdoja, Ville Kyrki 2024 Workshop on Towards Collaborative Partners: Design, Shared Control, and Robot Learning for Physical Human-Robot Interaction

Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation

Shivam Chaubey, Francesco Verdoja, Ville Kyrki 2024 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Do Visual-Language Maps Capture Latent Semantics?

Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki 2024 Proceedings of IEEE-RAS International Conference on Humanoid Robots

Evaluating the quality of robotic visual-language maps

Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki 2024 Workshop on Vision-Language Models for Navigation and Manipulation

Localization under consistent assumptions over dynamics

Matti Pekkanen, Francesco Verdoja, Ville Kyrki 2024 Proceedings of the IEEE International Conference on Multisensor Fusion and Integration

Modeling movable objects improves localization in dynamic environments

Matti Pekkanen, Francesco Verdoja, Ville Kyrki 2024 Workshop on Future of Construction: Lifelong Learning Robots in Changing Construction Sites

Object-oriented mapping in dynamic environments

Matti Pekkanen, Francesco Verdoja, Ville Kyrki 2024 Proceedings of the IEEE International Conference on Multisensor Fusion and Integration

Bayesian Floor Field: Transferring people flow predictions across environments

Francesco Verdoja, Tomasz Kucner, Ville Kyrki 2024 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Using occupancy priors to generalize people flow predictions

Francesco Verdoja, Tomasz Kucner, Ville Kyrki 2024 Long-term Human Motion Prediction Workshop

LSVL: Large-scale season-invariant visual localization for UAVs

Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki 2023 Robotics and Autonomous Systems