Reducing Steganography In Cycle-consistency GANs. - Horia Porav; Valentina Musat; Paul Newman 001 (CVPR Workshops, 2019)

Rainy screens: Collecting rainy datasets, indoors. - Horia Porav; Valentina-Nicoleta Musat; Tom Bruls; Paul Newman 001 (CoRR, 2020)

Multi-weather city: Adverse weather stacking for autonomous driving. - Valentina Musat; Ivan Fursa; Paul Newman 001; Fabio Cuzzolin; Andrew Bradley (ICCVW, 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)

Depth-SIMS: Semi-Parametric Image and Depth Synthesis. - Valentina Musat; Daniele De Martini; Matthew Gadd; Paul Newman 001 (ICRA, 2022)

Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing. - Izzeddin Teeti; Valentina Musat; Salman Khan 004; Alexander Rast; Fabio Cuzzolin; Andrew Bradley (CoRR, 2022)

NeuralFloors++: Consistent Street-Level Scene Generation From BEV Semantic Maps. - Valentina Musat; Daniele De Martini; Matthew Gadd; Paul Newman 001 (IROS, 2024)

NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields. - Valentina Musat; Daniele De Martini; Matthew Gadd; Paul Newman 001 (IEEE Robotics Autom. Lett., 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; et al. (IEEE Trans. Intell. Transp. Syst., 2024)