Valentina Musat

According to our database, Valentina Musat authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

OORD: The Oxford Offroad Radar Dataset.

Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze

IEEE Trans. Intell. Transp. Syst., November, 2024

NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields.

Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman

IEEE Robotics Autom. Lett., 2024

NeuralFloors++: Consistent Street-Level Scene Generation From BEV Semantic Maps.

Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2022

Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing.

Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley

CoRR, 2022

Depth-SIMS: Semi-Parametric Image and Depth Synthesis.

Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions.

Ivan Fursa, Elias Fandi, Valentina Musat, Jacob Culley, Enric Gil Esteller, Louise Bilous, Isaac Vander Sluis, Alexander Rast, Andrew Bradley

CoRR, 2021

Multi-weather city: Adverse weather stacking for autonomous driving.

Valentina Musat, Ivan Fursa, Paul Newman, Fabio Cuzzolin, Andrew Bradley

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Rainy screens: Collecting rainy datasets, indoors.

Horia Porav, Valentina-Nicoleta Musat, Tom Bruls, Paul Newman

CoRR, 2020

2019

Reducing Steganography In Cycle-consistency GANs.

Horia Porav, Valentina Musat, Paul Newman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019